Author: "Deshpande, Sameer" / Database: OpenAIRE - Searchworks@Jio Institute Digital Library Search Results

20 results on '"Deshpande, Sameer"'

1. Bayesian Causal Forests & the 2022 ACIC Data Challenge: Scalability and Sensitivity

Author: Kokandakar, Ajinkya H., Kang, Hyunseung, and Deshpande, Sameer K.
Subjects: FOS: Computer and information sciences, Statistics and Probability, Numerical Analysis, Modeling and Simulation, Applied Mathematics, Applications (stat.AP), Computer Science Applications
Abstract: We demonstrate how Hahn et al.'s Bayesian Causal Forests model (BCF) can be used to estimate conditional average treatment effects for the longitudinal dataset in the 2022 American Causal Inference Conference Data Challenge. Unfortunately, existing implementations of BCF do not scale to the size of the challenge data. Therefore, we developed flexBCF -- a more scalable and flexible implementation of BCF -- and used it in our challenge submission. We investigate the sensitivity of our results to the choice of propensity score estimation method and the use of sparsity-inducing regression tree priors. While we found that our overall point predictions were not especially sensitive to these modeling choices, we did observe that running BCF with flexibly estimated propensity scores often yielded better-calibrated uncertainty intervals.
Published: 2023

2. Evaluating plate discipline in Major League Baseball with Bayesian Additive Regression Trees

Author: Yee, Ryan and Deshpande, Sameer K.
Subjects: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
Abstract: We introduce a three-step framework to determine, on a per-pitch basis, whether batters in Major League Baseball should swing at a pitch. Unlike traditional plate discipline metrics, which implicitly assume that all batters should always swing (resp. take) pitches inside (resp. outside) the strike zone, our approach explicitly accounts not only for the players and umpires involved but also in-game contextual information like the number of outs, the count, baserunners, and score. Specifically, we first fit flexible Bayesian nonparametric models to estimate (i) the probability that the pitch is called a strike if the batter takes the pitch; (ii) the probability that the batter makes contact if he swings; and (iii) the number of runs the batting team is expected to score following each pitch outcome (e.g. swing and miss, take a called strike, etc.). We then combine these intermediate estimates to determine whether swinging increases the batting team's run expectancy. Our approach enables natural uncertainty propagation so that we can not only determine the optimal swing/take decision but also quantify our confidence in that decision. We illustrate our framework using a case study of pitches faced by Mike Trout in 2019.
Published: 2023
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3. Climate Action Survey, 2022: Technical Report

Author: Bradley, Graham, Deshpande, Sameer, and Paas, Karlien
Abstract: Griffith University’s Climate Action Beacon conducted the second of five planned Climate Action Surveys in September-December, 2022. The survey aimed to discover what Australians think, feel, and do about climate change and related environmental and climatic events, conditions, and issues. This report gives details of the background to the survey, as well as its methods, major findings, and potential implications. Comparisons are made with findings from the corresponding 2021 survey and with other recent survey research. In 2022, the survey was conducted in two stages. First, to obtain longitudinal data and monitor within-person changes in responses, all 3,915 people who satisfactorily completed the survey questionnaire in 2021 were invited to participate again in 2022. Usable responses were obtained from 1,263 members (32.3%) of this cohort (51.9% female, Mage = 54.2 years). Second, to boost the total sample size to the target of N = 4,000, and to permit estimations of nationwide trends over time, a quota sample of Australian resident adults, stratified by gender, age, and state of Australia (in proportion to the representation of these categories in the national population), was recruited. Data collection closed when usable questionnaires had been received from 2,767 people (50.2% female, Mage = 47.3 years). Therefore, the 2022 sample comprised 4,030 Australian adults (50.7% female, Mage = 49.4 years). Two versions of the online questionnaire were used in 2022 - one for the repeat respondents, and one for the new respondents. The latter questionnaire closely resembled that used in 2021. For the repeat respondents, questions that did not warrant asking a second time in two years were replaced by questions tapping new topics. Both questionnaires comprised almost 200 single items/questions, approximately 30 multi-item composite scales, and several openended questions. Each could be completed in approximately 30 minutes. The survey content pertained to the extent and distribution of different views about climate change; feelings/concerns about the threat and reality of climate change; knowledge of climate change and information sources used to obtain this knowledge; experiences of extreme weather events, natural disasters (including the 2022 Australian floods), and climate change impacts; pro-environmental behaviours and lifestyles; barriers to engaging in these behaviours and lifestyles; and self-views, worldviews and socio-political opinions. Demographic data enabled the identification of group differences in the climate change variables. As was the case in 2021, the survey demonstrates the high prevalence of beliefs in, and concerns about, climate change, and the overwhelming support for government policies that facilitate mitigation of the rate and extent of climate change. Findings have implications for climate change interventions, government policy, future research, and theory development. At the time of writing, more detailed analyses of the quantitative and qualitative data, and deeper consideration of the implications of the findings, are ongoing. Planning has commenced to conduct a third iteration of the survey in the second half of 2023.
Published: 2023
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4. Are you using test log-likelihood correctly?

Author: Deshpande, Sameer K., Ghosh, Soumya, Nguyen, Tin D., and Broderick, Tamara
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Other Statistics, Statistics - Machine Learning, Other Statistics (stat.OT), Machine Learning (stat.ML), Machine Learning (cs.LG)
Abstract: Test log-likelihood is commonly used to compare different models of the same data and different approximate inference algorithms for fitting the same probabilistic model. We present simple examples demonstrating how comparisons based on test log-likelihood can contradict comparisons according to other objectives. Specifically, our examples show that (i) conclusions about forecast accuracy based on test log-likelihood comparisons may not agree with conclusions based on other distributional quantities like means; and (ii) that approximate Bayesian inference algorithms that attain higher test log-likelihoods need not also yield more accurate posterior approximations., Presented at the ICBINB Workshop at NeurIPS 2022
Published: 2022

5. Bayesian Causal Forests & the 2022 ACIC Data Challenge: Scalability and Sensitivity

Author: Kokandakar, Ajinkya H., Kang, Hyunseung, and Deshpande, Sameer K.
Subjects: Statistics - Applications
Abstract: We demonstrate how Hahn et al.'s Bayesian Causal Forests model (BCF) can be used to estimate conditional average treatment effects for the longitudinal dataset in the 2022 American Causal Inference Conference Data Challenge. Unfortunately, existing implementations of BCF do not scale to the size of the challenge data. Therefore, we developed flexBCF -- a more scalable and flexible implementation of BCF -- and used it in our challenge submission. We investigate the sensitivity of our results to the choice of propensity score estimation method and the use of sparsity-inducing regression tree priors. While we found that our overall point predictions were not especially sensitive to these modeling choices, we did observe that running BCF with flexibly estimated propensity scores often yielded better-calibrated uncertainty intervals.
Published: 2022

6. A Bayesian analysis of the time through the order penalty in baseball

Author: Brill, Ryan S., Deshpande, Sameer K., and Wyner, Abraham J.
Subjects: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
Abstract: As a baseball game progresses, batters appear to perform better the more times they face a particular pitcher. The apparent drop-off in pitcher performance from one time through the order to the next, known as the Time Through the Order Penalty (TTOP), is often attributed to within-game batter learning. Although the TTOP has largely been accepted within baseball and influences many managers' in-game decision making, we argue that existing approaches of estimating the size of the TTOP cannot disentangle continuous evolution in pitcher performance over the course of the game from discontinuities between successive times through the order. Using a Bayesian multinomial regression model, we find that, after adjusting for confounders like batter and pitcher quality, handedness, and home field advantage, there is little evidence of strong discontinuity in pitcher performance between times through the order. Our analysis suggests that the start of the third time through the order should not be viewed as a special cutoff point in deciding whether to pull a starting pitcher., Accepted to JQAS
Published: 2022

7. Sparse Gaussian chain graphs with the spike-and-slab LASSO: Algorithms and asymptotics

Author: Shen, Yunyi, Solís-Lemus, Claudia, and Deshpande, Sameer K.
Subjects: Methodology (stat.ME), FOS: Computer and information sciences, Statistics - Methodology
Abstract: The Gaussian chain graph model simultaneously parametrizes (i) the direct effects of $p$ predictors on $q$ correlated outcomes and (ii) the residual partial covariance between pair of outcomes. We introduce a new method for fitting sparse Gaussian chain graph models with spike-and-slab LASSO (SSL) priors. We develop an Expectation-Conditional Maximization algorithm to obtain sparse estimates of the $p \times q$ matrix of direct effects and the $q \times q$ residual precision matrix. Our algorithm iteratively solves a sequence of penalized maximum likelihood problems with self-adaptive penalties that gradually filter out negligible regression coefficients and partial covariances. Because it adaptively penalizes model parameters, our method is seen to outperform fixed-penalty competitors on simulated data. We establish the posterior concentration rate for our model, buttressing our method's excellent empirical performance with strong theoretical guarantees. We use our method to reanalyze a dataset from a study of the effects of diet and residence type on the composition of the gut microbiome of elderly adults.
Published: 2022
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8. On the posterior contraction of the multivariate spike-and-slab LASSO

Author: Shen, Yunyi and Deshpande, Sameer K.
Subjects: FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST)
Abstract: We study the asymptotic properties of the multivariate spike-and-slab LASSO (mSSL) proposed by Deshpande et al.(2019) for simultaneous variable and covariance selection. Specifically, we consider the sparse multivariate linear regression problem where $q$ correlated responses are regressed onto $p$ covariates. In this problem, the goal is to estimate a sparse matrix $B$ of marginal covariate effects and a sparse precision matrix $\Omega$, which captures the residual conditional dependence structure of the outcomes. The mSSL works by placing continuous spike and slab priors on all the entries of $B$ and on all the off-diagonal elements in the lower-triangle of $\Omega$. Under mild assumptions, we establish the posterior contraction rate for the slightly modified mSSL posterior in the asymptotic regime where both $p$ and $q$ diverge with $n.$ Our results imply that a slightly modified version of Deshpande et al.~(2019)'s mSSL procedure is asymptotically consistent., Comment: arXiv admin note: text overlap with arXiv:2207.07020
Published: 2022
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9. Pre-analysis protocol for an observational study on the effects of adolescent sports participation on health in early adulthood

Author: Kokandakar, Ajinkya H, Lin, Yuzhou, Jin, Steven, Weiss, Jordan, Rabinowitz, Amanda R, May, Reuben A Buford, Small, Dylan, and Deshpande, Sameer K
Subjects: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
Abstract: We will study the impact of adolescent sports participation on early-adulthood health using longitudinal data from the National Study of Youth and Religion. We focus on two primary outcomes measured at ages 23--28 -- self-rated health and total score on the PHQ9 Patient Depression Questionnaire -- and control for several potential confounders related to demographics and family socioeconomic status. Comparing outcomes between sports participants and matched non-sports participants with similar confounders is straightforward. Unfortunately, an analysis based on such a broad exposure cannot probe the possibility that participation in certain types of sports (e.g. collision sports like football or soccer) may have larger effects on health than others. In this study, we introduce a hierarchy of exposure definitions, ranging from broad (participation in any after-school organized activity) to narrow (e.g. participation in limited-contact sports). We will perform separate matched observational studies, one for each definition, to estimate the health effects of several levels of sports participation. In order to conduct these studies while maintaining a fixed family-wise error rate, we developed an ordered testing approach that exploits the logical relationships between exposure definitions. Our study will also consider several secondary outcomes including body mass index, life satisfaction, and problematic drinking behavior.
Published: 2022
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10. flexBART: Flexible Bayesian regression trees with categorical predictors

Author: Deshpande, Sameer K.
Subjects: Methodology (stat.ME), FOS: Computer and information sciences, Statistics - Machine Learning, Machine Learning (stat.ML), Statistics - Methodology
Abstract: Most implementations of Bayesian additive regression trees (BART) one-hot encode categorical predictors, replacing each one with several binary indicators, one for every level or category. Regression trees built with these indicators partition the discrete set of categorical levels by repeatedly removing one level at a time. Unfortunately, the vast majority of partitions cannot be built with this strategy, severely limiting BART's ability to partially pool data across groups of levels. Motivated by analyses of baseball data and neighborhood-level crime dynamics, we overcame this limitation by re-implementing BART with regression trees that can assign multiple levels to both branches of a decision tree node. To model spatial data aggregated into small regions, we further proposed a new decision rule prior that creates spatially contiguous regions by deleting a random edge from a random spanning tree of a suitably defined network. Our re-implementation, which is available in the flexBART package, often yields improved out-of-sample predictive performance and scales better to larger datasets than existing implementations of BART., Comment: Software available at https://github.com/skdeshpande91/flexBART
Published: 2022
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11. Confidently Comparing Estimators with the c-value

Author: Trippe, Brian L., Deshpande, Sameer K., and Broderick, Tamara
Subjects: Methodology (stat.ME), FOS: Computer and information sciences, Statistics - Methodology
Abstract: Modern statistics provides an ever-expanding toolkit for estimating unknown parameters. Consequently, applied statisticians frequently face a difficult decision: retain a parameter estimate from a familiar method or replace it with an estimate from a newer or more complex one. While it is traditional to compare estimates using risk, such comparisons are rarely conclusive in realistic settings. In response, we propose the "c-value" as a measure of confidence that a new estimate achieves smaller loss than an old estimate on a given dataset. We show that it is unlikely that a large c-value coincides with a larger loss for the new estimate. Therefore, just as a small p-value supports rejecting a null hypothesis, a large c-value supports using a new estimate in place of the old. For a wide class of problems and estimates, we show how to compute a c-value by first constructing a data-dependent high-probability lower bound on the difference in loss. The c-value is frequentist in nature, but we show that it can provide validation of shrinkage estimates derived from Bayesian models in real data applications involving hierarchical models and Gaussian processes., Accepted for publication in the Journal of the American Statistical Association
Published: 2021

12. sj-pdf-1-wmr-10.1177_0734242X20985608 – Supplemental material for Influencing household-level waste-sorting and composting behaviour: What works? A systematic review (1995–2020) of waste management interventions

Author: Sewak, Aarti, Jeawon Kim, Rundle-Thiele, Sharyn, and Deshpande, Sameer
Subjects: FOS: Other engineering and technologies, 111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences, 99999 Engineering not elsewhere classified
Abstract: Supplemental material, sj-pdf-1-wmr-10.1177_0734242X20985608 for Influencing household-level waste-sorting and composting behaviour: What works? A systematic review (1995–2020) of waste management interventions by Aarti Sewak, Jeawon Kim, Sharyn Rundle-Thiele and Sameer Deshpande in Waste Management & Research
Published: 2021
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13. sj-pdf-1-wmr-10.1177_0734242X20985608 – Supplemental material for Influencing household-level waste-sorting and composting behaviour: What works? A systematic review (1995–2020) of waste management interventions

Author: Sewak, Aarti, Jeawon Kim, Rundle-Thiele, Sharyn, and Deshpande, Sameer
Subjects: FOS: Other engineering and technologies, 111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences, 99999 Engineering not elsewhere classified
Abstract: Supplemental material, sj-pdf-1-wmr-10.1177_0734242X20985608 for Influencing household-level waste-sorting and composting behaviour: What works? A systematic review (1995–2020) of waste management interventions by Aarti Sewak, Jeawon Kim, Sharyn Rundle-Thiele and Sameer Deshpande in Waste Management & Research
Published: 2021
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14. VCBART: Bayesian trees for varying coefficients

Author: Deshpande, Sameer K., Bai, Ray, Balocchi, Cecilia, Starling, Jennifer E., and Weiss, Jordan
Subjects: Methodology (stat.ME), FOS: Computer and information sciences, Statistics - Methodology
Abstract: Many studies have reported associations between later-life cognition and socioeconomic position in childhood, young adulthood, and mid-life. However, the vast majority of these studies are unable to quantify how these associations vary over time and with respect to several demographic factors. Varying coefficient (VC) models, which treat the covariate effects in a linear model as nonparametric functions of additional effect modifiers, offer an appealing way to overcome these limitations. Unfortunately, state-of-the-art VC modeling methods require computationally prohibitive parameter tuning or make restrictive assumptions about the functional form of the covariate effects. In response, we propose VCBART, which estimates the covariate effects in a VC model using Bayesian Additive Regression Trees. With simple default hyperparameter settings, VCBART outperforms existing methods in terms of covariate effect estimation and prediction. Using VCBART, we predict the cognitive trajectories of 4,167 subjects from the Health and Retirement Study using multiple measures of socioeconomic position and physical health. We find that socioeconomic position in childhood and young adulthood have small effects that do not vary with age. In contrast, the effects of measures of mid-life physical health tend to vary with respect to age, race, and marital status. An R package implementing VCBART is available at https://github.com/skdeshpande91/VCBART, Comment: Updating acknowledgements (February 2022)
Published: 2020
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15. Protocol for an Observational Study of the Association of High School Football Participation on Health in Late Adulthood

Author: Gaulton, Timothy G., Deshpande, Sameer K., Small, Dylan S., and Neuman, Mark D.
Subjects: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
Abstract: American football is the most popular high school sport and is among the leading cause of injury among adolescents. While there has been considerable recent attention on the link between football and cognitive decline, there is also evidence of higher than expected rates of pain, obesity, and lower quality of life among former professional players, either as a result of repetitive head injury or through different mechanisms. Previously hidden downstream effects of playing football may have far-reaching public health implications for participants in youth and high school football programs. Our proposed study is a retrospective observational study that compares 1,153 high school males who played varsity football with 2,751 male students who did not. 1,951 of the control subjects did not play any sport and the remaining 800 controls played a non-contact sport. Our primary outcome is self-rated health measured at age 65. To control for potential confounders, we adjust for pre-exposure covariates with matching and model-based covariance adjustment. We will conduct an ordered testing procedure designed to use the full pool of 2,751 controls while also controlling for possible unmeasured differences between students who played sports and those who did not. We will quantitatively assess the sensitivity of the results to potential unmeasured confounding. The study will also assess secondary outcomes of pain, difficulty with activities of daily living, and obesity, as these are both important to individual well-being and have public health relevance.
Published: 2019

16. Protocol for an Observational Study on the Effects of Early-Life Participation in Contact Sports on Later-Life Cognition in a Sample of Monozygotic and Dizygotic Swedish Twins Reared Together and Twins Reared Apart

Author: Weiss, Jordan, Rabinowitz, Amanda R., Deshpande, Sameer K., Hasegawa, Raiden B., and Small, Dylan S.
Subjects: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
Abstract: A large body of work links traumatic brain injury (TBI) in adulthood to the onset of Alzheimer's disease (AD). AD is the chief cause of dementia, leading to reduced cognitive capacity and autonomy and increased mortality risk. More recently, researchers have sought to investigate whether TBI experienced in early-life may influence trajectories of cognitive dysfunction in adulthood. It has been speculated that early-life participation in collision sports may lead to poor cognitive and mental health outcomes. However, to date, the few studies to investigate this relationship have produced mixed results. We propose to extend this literature by conducting a prospective study on the effects of early-life participation in collision sports on later-life cognitive health using the Swedish Adoption/Twin Study on Aging (SATSA). The SATSA is unique in its sampling of monozygotic and dizygotic twins reared together (respectively MZT, DZT) and twins reared apart (respectively MZA, DZA). The proposed analysis is a prospective study of 660 individuals comprised of 270 twin pairs and 120 singletons. Seventy-eight (11.8% individuals reported participation in collision sports. Our primary outcome will be an indicator of cognitive impairment determined by scores on the Mini-Mental State Examination (MMSE). We will also consider several secondary cognitive outcomes including verbal and spatial ability, memory, and processing speed. Our sample will be restricted to individuals with at least one MMSE score out of seven repeated assessments spaced approximately three years apart. We will adjust for age, sex, and education in each of our models., Updated methodology and tables
Published: 2018

17. Protocol for an observational study on the effects of playing football in adolescence on mental health in early adulthood

Author: Deshpande, Sameer K., Hasegawa, Raiden B., Weiss, Jordan, and Small, Dylan S.
Subjects: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
Abstract: More than 1 million students play high school American football annually, but many health professionals have recently questioned its safety or called for its ban. These concerns have been partially driven by reports of chronic traumatic encephalopathy (CTE), increased risks of neurodegenerative disease, and associations between concussion history and later-life cognitive impairment and depression among retired professional football players. A recent observational study of a cohort of men who graduated from a Wisconsin high school in 1957 found no statistically significant harmful effects of playing high school football on a range of cognitive, psychological, and socio-economic outcomes measured at ages 35, 54, 65, and 72. Unfortunately, these findings may not generalize to younger populations, thanks to changes and improvements in football helmet technology and training techniques. In particular, these changes may have led to increased perceptions of safety but ultimately more dangerous styles of play, characterized by the frequent sub-concussive impacts thought to be associated with later-life neurological decline. In this work, we replicate the methodology of that earlier matched observational study using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health). These include adolescent and family co-morbidities, academic experience, self-reported levels of general health and physical activity, and the score on the Add Health Picture Vocabulary Test. Our primary outcome is the CES-D score measured in 2008 when subjects were aged 24 -- 34 and settling into early adulthood. We also examine several secondary outcomes related to physical and psychological health, including suicidality. Our results can provide insight into the natural history of potential football-related decline and dysfunction., Comment: Updated tables summarizing the matches constructed
Published: 2018
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18. Protocol for an Observational Study on the Effects of Playing High School Football on Later Life Cognitive Functioning and Mental Health

Author: Deshpande, Sameer K., Hasegawa, Raiden B., Rabinowitz, Amanda R., Whyte, John, Roan, Carol L., Tabatabaei, Andrew, Baiocchi, Michael, Karlawish, Jason H., Master, Christina L., and Small, Dylan S.
Subjects: FOS: Computer and information sciences, Applications (stat.AP), Statistics - Applications
Abstract: A potential causal relationship between head injuries sustained by NFL players and later-life neurological decline may have broad implications for participants in youth and high school football programs. However, brain trauma risk at the professional level may be different than that at the youth and high school levels and the long-term effects of participation at these levels is as-yet unclear. To investigate the effect of playing high school football on later life depression and cognitive functioning, we propose a retrospective observational study using data from the Wisconsin Longitudinal Study (WLS) of graduates from Wisconsin high schools in 1957. We compare 1,153 high school males who played varsity football to 2,751 male students who did not. 1,951 of the control subjects did not play any sport and the remaining 800 controls played a non-contact sport. We focus on two primary outcomes measured at age 65: a composite cognitive outcome measuring verbal fluency and memory and the modified CES-D depression score. To control for potential confounders we adjust for pre-exposure covariates such as IQ with matching and model-based covariate adjustment. We will conduct an ordered testing procedure that uses all 2,751 controls while controlling for possible unmeasured differences between students who played sports and those who did not. We will quantitatively assess the sensitivity of the results to potential unmeasured confounding. The study will also consider several secondary outcomes of clinical interest such as aggression and heavy drinking. The rich set of pre-exposure variables, relatively unbiased sampling, and longitudinal nature of the WLS dataset make the proposed analysis unique among related studies that rely primarily on convenience samples of football players with reported neurological symptoms., Comment: Prior to performing the proposed analysis, we will register this pre-analysis plan on clincialtrials.gov
Published: 2016
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19. Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial

Author: Adrian F Hernandez, Jennifer B Green, Salim Janmohamed, Ralph B D'Agostino, Christopher B Granger, Nigel P Jones, Lawrence A Leiter, Anne E Rosenberg, Kristina N Sigmon, Matthew C Somerville, Karl M Thorpe, John J V McMurray, Stefano Del Prato, John J.V. McMurray, Ralph B. D'Agostino, Christopher B. Granger, Adrian F. Hernandez, Lawrence A. Leiter, Robert M Califf, Rury Holman, David DeMets, Matthew Riddle, Shaun Goodman, Darren McGuire, Karen Alexander, Adam Devore, Chiara Melloni, Chetan Patel, David Kong, Gerald Bloomfield, Matthew Roe, Pierluigi Tricoci, Rob Harrison, Renato Lopes, Robin Mathews, Rajendra Mehta, William Schuyler Jones, Sreekanth Vemulapalli, Thomas Povsic, Zubin Eapen, Keith Dombrowski, Brad Kolls, Dedrick Jordan, Andrew Ambrosy, Stephen Greene, Aditya Mandawat, Jay Shavadia, Lauren Cooper, Abhinav Sharma, Patricia Guimaraes, Daniel Friedman, Matt Wilson, Patricia Endsley, Tracy Gentry, Jeannie Collier, Kathleen Perez, Kourtnei James, Jennifer Roush, Connie Pope, Christina Howell, Megan Johnson, Matt Bailey, Joanna Cole, Teresa Akers, Beth Vandyne, Betsy Thomas, Jenny Rich, Susan Bartone, Gail Beaulieu, Kim Brown, Tuan Chau, Tamra Christian, Rebecca Coker, Deb Greene, Trevorlyn Haddock, Wendy Jenkins, Ghazala Haque, Marsha Marquess, Jean Pesarchick, Renee Rethaford, Allegra Stone, Firas Al Kawas, Michelle Anderson, Robert Enns, Isaac Sinay, Chantal Mathieu, Victor Yordanov, Irene Hramiak, Martin Haluzik, Søren Galatius, Bruno Guerci, Michael Nauck, Ilias Migdalis, Choon Beng Kathryn Tan, Gyozo Kocsis, Andrea Giaccari, Moon Kyu Lee, Ernesto German Cardona Muñoz, Jan Cornel, Kare Birkeland, Miguel Pinto, Louie Tirador, Martyna Olesinska-Mader, Marina Shestakova, Larry Distiller, Jose Lopez-Sendon, Bjorn Eliasson, Chern-En Chiang, Suphot Srimahachota, Boris Mankovsky, M Angelyn Bethel, Kathleen Dungan, Mikhail Kosiborod, Andres Alvarisqueta, Jorge Baldovino, Diego Besada, Pedro Calella, Maria Cecilia Cantero, Patricia Castaño, Alejandro Chertkoff, Jesus Cuadrado, Luis De Loredo, Andrea Dominguez, Maria Vanesa Español, Hernan Finkelstein, Gustavo Frechtel, Jose Fretes, Natalia Garrido Santos, Joaquin Gonzalez, Marcos Litvak, Juan Loureyro, Laura Maffei, Natacha Maldonado, Diego Mohr Gasparini, Silvia Orio, Federico Perez Manghi, Nelson Rodriguez Papini, Jorgelina Sala, Pablo Schygiel, Georgina Sposetti, Maria Ulla, Fernando Verra, Silvina Zabalua, Cesar Zaidman, Laurent Crenier, Corinne Debroye, Francis Duyck, André Scheen, Luc Van Gaal, Chris Vercammen, Velichka Damyanova, Stefan Dimitrov, Snezhina Kovacheva, Lachezar Lozanov, Viktor Margaritov, Rositsa Mihaylova-Shumkova, Antoaneta Nikolaeva, Zhasmina Stoyanova, Ronald Akhras, Yves Beaudry, Jacques Bedard, Joseph Berlingieri, Raja Chehayeb, Stephen Cheung, James Conway, Jean Cusson, Anthony Della Siega, Richard Dumas, Peter Dzongowski, Murdo Ferguson, Daniel Gaudet, Francois Grondin, Anil Gupta, Milan Gupta, Frank Halperin, Pierre-Alain Houle, Michael Jones, Simon Kouz, Christopher Kovacs, Daniel Landry, Eva Lonn, William O'Mahony, Sean Peterson, Dennis Reich, Alan Rosenbloom, Francois St-Maurice, Barna Tugwell, Saul Vizel, Vincent Woo, Tomas Brychta, Vladimir Cech, Eva Dvorakova, Tomas Edelsberger, Katarina Halciakova, Jarmila Krizova, Jiri Lastuvka, Martin Piperek, Vera Prymkova, Lea Raclavska, Elena Silhova, Robin Urbanek, Jan Vrkoc, Ulla Andersen, Jens Brønnum-Schou, Jens Hove, Jan Skov Jensen, Lars Kober, Ole Peter Kristiansen, Per Lund, Thomas Melchior, Ole Nyvad, Morten Schou, Alain Boye, Didier Cadinot, Didier Gouet, Patrick Henry, Laurence Kessler, Jean-Daniel Lalau, Catherine Petit, Jean-Francois Thuan, Christel Voinot, Julien Vouillarmet, Christoph Axthelm, Dirk Berger, Tasso Bieler, Andreas Birkenfeld, Jochen Bott, Klaus Busch, Karel Caca, Julia Chevts, Torsten Donaubauer, Rudolf Erlinger, Klaus Funke, Josef Grosskopf, Andreas Hagenow, Monika Hamann, Manfred Hartard, Peter Heymer, Wolfgang Huppertz, Gabriele Illies, Stephan Jacob, Thomas Jung, Gerd Kahrmann, Petra Kast, Monika Kellerer, Hans-Peter Kempe, Andrei Khariouzov, Gerhard Klausmann, Christiane Klein, Uwe Kleinecke-Pohl, Klaus Kleinertz, Thorsten Koch, Christine Kosch, Babette Lorra, Joerg Luedemann, Matthias Luttermann, Stephan Maxeiner, Karsten Milek, Andrea Moelle, Gerhard Neumann, Ruth Nischik, Edith Oehrig-Pohl, Georg Plassmann, Lars Pohlmeier, Felix Proepper, Stefan Regner, Werner Rieker, Ludger Rose, Holger Samer, Joachim Sauter, Frank Schaper, Clemens Schiffer, Juergen Schmidt, Bernd-M. Scholz, Joerg Schulze, Alexander Segner, Jochen Seufert, Helena Sigal, Joerg Steindorf, Juergen Stockhausen, Petra Stuebler, Heidrun Taeschner, Dietrich Tews, Diethelm Tschoepe, Karl Wilhelm, Helga Zeller-Stefan, Iakovos Avramidis, Stavros Bousboulas, Magdalini Bristianou, Georgios Dimitriadis, Moses Elisaf, Kalliopi Kotsa, Andreas Melidonis, Asimina Mitrakou, Emmanouil Pagkalos, Nikolaos Papanas, Angelos Pappas, Christos Sampanis, Nikolaos Tentolouris, Apostolos Tsapas, Glykeria Tzatzagou, Risa Ozaki, Csaba Hajdú, Eleonóra Harcsa, Laszlo Konyves, János Mucsi, Zsolt Pauker, Gizella Petró, Zsolt Plés, Katalin Revesz, Vangel Sándor, Viktor Vass, Angelo Avogaro, Massimo Boemi, Riccardo Bonadonna, Agostino Consoli, Salvatore De Cosmo, Paolo Di Bartolo, Francesco Dotta, Simona Frontoni, Marianna Galetta, Alessandra Gambineri, Carmine Gazzaruso, Francesco Giorgino, Davide Lauro, Emanuela Orsi, Giuseppe Paolisso, Gabriele Perriello, Piermarco Piatti, Antonio Pontiroli, Paola Ponzani, Angela Albarosa Rivellese, Giorgio Sesti, Giancarlo Tonolo, Roberto Trevisan, Chul Woo Ahn, Sei-Hyun Baik, Bong-Soo Cha, Choon-Hee Chung, Hak Chul Jang, Chong-Jin Kim, Hye Soon Kim, In Joo Kim, Eun Young Lee, Hyoung Woo Lee, Kwan-Woo Lee, Keon-Woong Moon, June Namgung, Kyong Soo Park, Soon Jib Yoo, Jaemyung Yu, Edmundo-Alfredo Bayram Llamas, Jose-Luis Cervantes-Escárcega, Luis Fernando Flota-Cervera, José Gerardo González-González, Sara Pascoe-Gonzalez, Emilia Susana Pelayo-Orozco, Santiago-Paulino Ramirez-Diaz, Arturo Saldana-Mendoza, Carlos Sánchez Jerjes-Díaz, Jose Juan Torres-Colores, Maricela Vidrio-Velázquez, Juan Villagordoa-Mesa, Hugo Peter Beijerbacht, Reginald G.E.J. Groutars, Boudewijn A Hoek, Pieter A.M. Hoogslag, Adriaan Kooy, Johannes A. Kragten, Aloysius G. Lieverse, Hendrik P. Swart, Eric P. Viergever, Jørn Ahlqvist, John Cooper, Hanne Gulseth, Gaute Guttormsen, Cecilie Wium, Hugo Arbañil, Jorge Calderon, Luis Camacho, Augusto Dextre Espinoza, Elizabeth Garrido, Alejandro Luna, Helard Manrique, Frederick Massucco Revoredo, Rolando Vargas Gonzales, Luis Zapata Rincon, Carlos Zubiate, Geraldine Ebo, Ellen Morales-Palomares, Malgorzata Arciszewska, Marek Banach, Renata Bijata-Bronisz, Tadeusz Derezinski, Waldemar Gadzinski, Jacek Gajek, Katarzyna Klodawska, Ewa Krzyzagorska, Andrzej Madej, Pawel Miekus, Jaroslaw Opiela, Piotr Romanczuk, Anna Siegel, Ewa Skokowska, Andrzej Stankiewicz, Teresa Stasinska, Iwona Trznadel-Morawska, Robert Witek, Sergey Aksentyev, Irina Bondar, Irina Demidova, Alexander Dreval, Olga Ershova, Gagik Galstyan, Alla Garganeeva, Nadezhda Izmozherova, Victoria Karetnikova, Marina Kharakhulakh, Aleksandr Khokhlov, Zhanna Kobalava, Olga Koshelskaya, Elena Kosmacheva, Vladimir Kostin, Natalia Koziolova, Anatoly Kuzin, Victor Lesnov, Tatyana Lysenko, Valentin Markov, Alexander Mayorov, Sergey Moiseev, Svetlana Myasoedova, Nina Petunina, Andrey Rebrov, Ludmila Ruyatkina, Julia Samoylova, Olga Sazonova, Natalia Shilkina, Nadezhda Sokolova, Olga Vasilevskaya, Nelli Verbovaya, Elena Vishneva, Sergey Vorobyev, Natalya Vorokhobina, Olga Zanozina, Elena Zhdanova, Tatyana Zykova, Lesley Burgess, Kathleen Coetzee, Saleem Dawood, Landman Lombard, Ellen Makotoko, Rajendran Moodley, Wessels Oosthuysen, Mohamed Sarvan, Carlos Calvo Gómez, Isidoro Cano Rodríguez, Almudena Castro Conde, Angel Cequier Fillat, Guillem Cuatrecasas Cambra, Fernando de Álvaro Moreno, Luis De Teresa Parreño, Javier Delgado Lista, José Ramón Domínguez Escribano, Santiago Durán García, Javier Elvira González, José María Fernández Rodríguez, Alberto Goday Arno, Ricardo Gomez Huelgas, José Ramón González Juanatey, Antonio Hernandez Mijares, Víctor Alfonso Jiménez Díaz, Esteban Jodar Gimeno, Tomás Lucas Morante, Monica Marazuela, Nieves Martell Claros, Didac Mauricio Puente, Elena Mena Ribas, Juan Francisco Merino Torres, Pedro Mezquita Raya, Andreu Nubiola Calonge, Xavier Ordoñez Sánchez, Jose Maria Pascual Izuel, Verónica Perea Castilla, Antonio Pérez Pérez, Isabel Perez Soto, Miguel Quesada Charneco, Angustias Quesada Simón, Josep Redón Mas, Antonia Rego Iraeta, Maria Rodriguez Alvarez, Irene Rodríguez Rodríguez, José Sabán Ruiz, Alfonso Soto González, Francisco Tinahones Madueno, Carlos Trescoli Serrano, Angels Ulied Armiñana, Erasmus Bachus, Katarina Berndtsson Blom, Ken Eliasson, Pekka Koskinen, Hans Larnefeldt, Cornelia Lif-Tiberg, Carina Linderfalk, Gustav Lund, Pia Lundman, Linda Moris, Åke Olsson, Staffan Salmonsson, Johan Sanmartin Berglund, Folke Sjöberg, Stefan Söderberg, Ingemar Torstensson, Jung-Fu Chen, Kai Jen Tien, Shih-Ting Tseng, Shih-Te Tu, Chih-Yuan Wang, Ji-Hung Wang, Arintaya Phrommintikul, Sukit Yamwong, Woravut Jintapakorn, Pisit Hutayanon, Nakarin Sansanayudh, Larysa Bazhan, Ivan Fushtey, Mariya Grachova, Vitaliy Katerenchuk, Vadym Korpachev, Nonna Kravchun, Oleksandr Larin, Galyna Mykhalchyshyn, Halyna Myshanych, Olga Oleksyk, Valeriia Orlenko, Nataliia Pashkovska, Nataliia Pertseva, Olena Petrosyan, Ivan Smirnov, Maryna Vlasenko, Tetiana Zlova, Myint Aye, Arun Baksi, Mathangi Balasubramani, Ronnie Beboso, Mark Blagden, Charles Bundy, Tobias Cookson, Allan Copland, Alistair Emslie-Smith, Fiona Green, Anthony Gunstone, Basil Issa, Ewart Jackson-Voyzey, Andrew Johnson, Malcolm Maclean, John McKnight, Solomon Muzulu, Ian O'Connell, Babatunde Oyesile, Catherine Patterson, Ewan Pearson, Sam Philip, Paul Smith, Usha Sukumaran, Jalal Abbas, Gaurav Aggarwala, Faiq Akhter, James Andersen, Moise Anglade, Georges Argoud, Mehrdad Ariani, Reswan Ashdji, Ladan Bakhtari, Subhash Banerjee, Andrew Bartlett, Howard Baum, Harold Bays, Richard Beasley, Renata Belfort de Aguiar, Sabrina Benjamin, Ravi Bhagwat, Anuj Bhargava, Bruce Bode, Christina Bratcher, Toby Briskin, Andrew Brockmyre, Raymond Broughton, Judith Brown, Madhusudan Budhraja, Kevin Cannon, Jewell Carr, Harold Cathcart, Arvind Cavale, Louis Chaykin, Deanna Cheung, Richard Childress, Allan Cohen, Jonathan Condit, Erin Cooksey, George Mitchell Cornett, Ira Dauber, William Davila, Luis De Armas, Julius Dean, Robert Detweiler, Ernesto Diaz, Michael Di Giovanna, Isaac Dor, Waymon Drummond, Donald Eagerton, John Earl, Charles Eaton, Howard Ellison, Neil Farris, Thomas Fiel, Anthony Firek, Brian First, Les Forgosh, William French, Winston Gandy, Ronald Garcia, Santosh Gill, Murray Gordon, Michael Guice, Siva Gummadi, Jonathan Hackenyos, Kristen Hairston, Lenita Hanson, Lindsay Harrison, Israel Hartman, John Heitner, Srini Hejeebu, Paul Hermany, Carlos Hernandez-Cassis, Horacio Hidalgo, Alexander Higgins, Hassan Ibrahim, Shahram Jacobs, David Johnson, Parag Joshi, Steven Kaster, Daniel Kellum, Christopher Kim, Ellen Kim, William Kirby, Albert Knouse, Steven Kulback, Mariananda Kumar, Tulsidas Kuruvanka, Ajay Labroo, William Lasswell, John Lentz, Thomas Lenzmeier, David Lewis, Zhaoping Li, Michael Lillestol, Raymond Little, Richard Lorraine, Cecilia McKeown-Biagas, Robert McNeill, Anand Mehta, Alan Miller, Joseph Moran, Emily Morawski, Venkatesh Nadar, Thomas O'Connor, Alberto Odio, Reginald Parker, Rajesh Patel, Lawrence Phillips, George Raad, Aref Rahman, Marina Raikhel, Ajit Raisinghani, Raj Rajan, Neda Rasouli, Frank Rauzi, Kathryn Rohr, Hal Roseman, Sergio Rovner, Fadi Saba, Richard Sachson, Alex Schabauer, Ricky Schneider, Timothy Schuchard, John Sensenbrenner, Yshay Shlesinger, Narendra Singh, Kanagaratnam Sivalingam, Larry Stonesifer, Daniel Storey, David Suh, Mohammed Tahir, Anjanette Tan, Marilyn Tan, Alain Taylon, Maitreya Thakkar, Devjit Tripathy, Gabriel Uwaifo, Amarnath Vedere, Chandra Venugopal, Anthony Vo, Michelle Welch, James Welker, Alexander White, John Willis, Alan Wynne, Shahram Yazdani, Anne Rosenberg, Lauren Price, Kristina Sigmon, Yuliya Lokhngina, Weibing Xing, Robert Overton, Murray Stewart, Janet Stead, Alistair Lindsay, Vickas Patel, Jorge Ross, Joseph Soffer, Shruti Daga, Margaret Sowell, Prashant Patel, Louisa Garvey, Jessica Ackert, Sybil Abraham, Mary Beth Sabol, Desma Altobelli, JuYoung Ha, Mangesh Kulkarni, Matthew Somerville, Drusilla Noronha, Ed Casson, Eddie Zang, Chamandeep Sandhu, Rakesh Kumar, David Chen, Lin Taft, Rajivkumar Patel, June Ye, Jennifer Shannon, Tim Wilson, Charleen Babi, Diane Miller, Karl Thorpe, Rachael Russell, Georgina Bull, Belinda Hereghty, Eva Fernandez-Salazar, Troy Longley, Jill Donaldson, Marie Jarosz, Karen Murphy, Patricia Adams, Peter Smith, Rachel James, Jackie Richards, Sangeeta Sedani, Denise Althouse, David Watson, Jamie Lorimer, Steven Lauder, Ron Schultheis, Terese Womer, Ella Wraight, Wenyan Li, Emma Price-Olsen, Anthony Watson, Aoife Kelly, Patricia McLaughlin, John Fleming, Jessica Schubert, Debra Schleiden, Tara Harris, Rahul Prakash, Jody Breneman, Sameer Deshpande, Aarti Saswadkar, Aditi Kumari, Aditi Shitut, Amruta Raorane, Anisha Karmalkar, Ankita Mhambrey, Archana Bhosale, Ashok Vaphare, Ashwini P Patil, Chaitali Khandelwal, Fayaz Shaik, Madhumitha Nadar, Mounika Karka, Neha Kadgaonkar, Nikita Gupta, Nutan Aher, Omkar Potnis, Pallavi Naicker, Rakesh Shinde, Richa Sharma, Rupali Godse, Sheetal Solanki, Shruti Sahu, Snehal Dumbre, Somesh Kumar, Suradnya Patil, Trisha Mandal, Hernandez, Adrian F, Green, Jennifer B, Janmohamed, Salim, D'Agostino, Ralph B, Granger, Christopher B, Jones, Nigel P, Leiter, Lawrence A, Rosenberg, Anne E, Sigmon, Kristina N, Somerville, Matthew C, Thorpe, Karl M, Mcmurray, John J V, Del Prato, Stefano, Mcmurray, John J. V., D'Agostino, Ralph B., Granger, Christopher B., Hernandez, Adrian F., Leiter, Lawrence A., Califf, Robert M, Holman, Rury, Demets, David, Riddle, Matthew, Goodman, Shaun, Mcguire, Darren, Alexander, Karen, Devore, Adam, Melloni, Chiara, Patel, Chetan, Kong, David, Bloomfield, Gerald, Roe, Matthew, Tricoci, Pierluigi, Harrison, Rob, Lopes, Renato, Mathews, Robin, Mehta, Rajendra, Schuyler Jones, William, Vemulapalli, Sreekanth, Povsic, Thoma, Eapen, Zubin, Dombrowski, Keith, Kolls, Brad, Jordan, Dedrick, Ambrosy, Andrew, Greene, Stephen, Mandawat, Aditya, Shavadia, Jay, Cooper, Lauren, Sharma, Abhinav, Guimaraes, Patricia, Friedman, Daniel, Wilson, Matt, Endsley, Patricia, Gentry, Tracy, Collier, Jeannie, Perez, Kathleen, James, Kourtnei, Roush, Jennifer, Pope, Connie, Howell, Christina, Johnson, Megan, Bailey, Matt, Cole, Joanna, Akers, Teresa, Vandyne, Beth, Thomas, Betsy, Rich, Jenny, Bartone, Susan, Beaulieu, Gail, Brown, Kim, Chau, Tuan, Christian, Tamra, Coker, Rebecca, Greene, Deb, Haddock, Trevorlyn, Jenkins, Wendy, Haque, Ghazala, Marquess, Marsha, Pesarchick, Jean, Rethaford, Renee, Stone, Allegra, Al Kawas, Fira, Anderson, Michelle, Enns, Robert, Sinay, Isaac, Mathieu, Chantal, Yordanov, Victor, Hramiak, Irene, Haluzik, Martin, Galatius, Søren, Guerci, Bruno, Nauck, Michael, Migdalis, Ilia, Tan, Choon Beng Kathryn, Kocsis, Gyozo, Giaccari, Andrea, Lee, Moon Kyu, Muñoz, Ernesto German Cardona, Cornel, Jan, Birkeland, Kare, Pinto, Miguel, Tirador, Louie, Olesinska-Mader, Martyna, Shestakova, Marina, Distiller, Larry, Lopez-Sendon, Jose, Eliasson, Bjorn, Chiang, Chern-En, Srimahachota, Suphot, Mankovsky, Bori, Bethel, M Angelyn, Dungan, Kathleen, Kosiborod, Mikhail, Alvarisqueta, Andre, Baldovino, Jorge, Besada, Diego, Calella, Pedro, Cantero, Maria Cecilia, Castaño, Patricia, Chertkoff, Alejandro, Cuadrado, Jesu, De Loredo, Lui, Dominguez, Andrea, Español, Maria Vanesa, Finkelstein, Hernan, Frechtel, Gustavo, Fretes, Jose, Garrido Santos, Natalia, Gonzalez, Joaquin, Litvak, Marco, Loureyro, Juan, Maffei, Laura, Maldonado, Natacha, Mohr Gasparini, Diego, Orio, Silvia, Perez Manghi, Federico, Rodriguez Papini, Nelson, Sala, Jorgelina, Schygiel, Pablo, Sposetti, Georgina, Ulla, Maria, Verra, Fernando, Zabalua, Silvina, Zaidman, Cesar, Crenier, Laurent, Debroye, Corinne, Duyck, Franci, Scheen, André, Van Gaal, Luc, Vercammen, Chri, Damyanova, Velichka, Dimitrov, Stefan, Kovacheva, Snezhina, Lozanov, Lachezar, Margaritov, Viktor, Mihaylova-Shumkova, Rositsa, Nikolaeva, Antoaneta, Stoyanova, Zhasmina, Akhras, Ronald, Beaudry, Yve, Bedard, Jacque, Berlingieri, Joseph, Chehayeb, Raja, Cheung, Stephen, Conway, Jame, Cusson, Jean, Della Siega, Anthony, Dumas, Richard, Dzongowski, Peter, Ferguson, Murdo, Gaudet, Daniel, Grondin, Francoi, Gupta, Anil, Gupta, Milan, Halperin, Frank, Houle, Pierre-Alain, Jones, Michael, Kouz, Simon, Kovacs, Christopher, Landry, Daniel, Lonn, Eva, O'Mahony, William, Peterson, Sean, Reich, Denni, Rosenbloom, Alan, St-Maurice, Francoi, Tugwell, Barna, Vizel, Saul, Woo, Vincent, Brychta, Toma, Cech, Vladimir, Dvorakova, Eva, Edelsberger, Toma, Halciakova, Katarina, Krizova, Jarmila, Lastuvka, Jiri, Piperek, Martin, Prymkova, Vera, Raclavska, Lea, Silhova, Elena, Urbanek, Robin, Vrkoc, Jan, Andersen, Ulla, Brønnum-Schou, Jen, Hove, Jen, Jensen, Jan Skov, Kober, Lar, Kristiansen, Ole Peter, Lund, Per, Melchior, Thoma, Nyvad, Ole, Schou, Morten, Boye, Alain, Cadinot, Didier, Gouet, Didier, Henry, Patrick, Kessler, Laurence, Lalau, Jean-Daniel, Petit, Catherine, Thuan, Jean-Francoi, Voinot, Christel, Vouillarmet, Julien, Axthelm, Christoph, Berger, Dirk, Bieler, Tasso, Birkenfeld, Andrea, Bott, Jochen, Busch, Klau, Caca, Karel, Chevts, Julia, Donaubauer, Torsten, Erlinger, Rudolf, Funke, Klau, Grosskopf, Josef, Hagenow, Andrea, Hamann, Monika, Hartard, Manfred, Heymer, Peter, Huppertz, Wolfgang, Illies, Gabriele, Jacob, Stephan, Jung, Thoma, Kahrmann, Gerd, Kast, Petra, Kellerer, Monika, Kempe, Hans-Peter, Khariouzov, Andrei, Klausmann, Gerhard, Klein, Christiane, Kleinecke-Pohl, Uwe, Kleinertz, Klau, Koch, Thorsten, Kosch, Christine, Lorra, Babette, Luedemann, Joerg, Luttermann, Matthia, Maxeiner, Stephan, Milek, Karsten, Moelle, Andrea, Neumann, Gerhard, Nischik, Ruth, Oehrig-Pohl, Edith, Plassmann, Georg, Pohlmeier, Lar, Proepper, Felix, Regner, Stefan, Rieker, Werner, Rose, Ludger, Samer, Holger, Sauter, Joachim, Schaper, Frank, Schiffer, Clemen, Schmidt, Juergen, Scholz, Bernd-M., Schulze, Joerg, Segner, Alexander, Seufert, Jochen, Sigal, Helena, Steindorf, Joerg, Stockhausen, Juergen, Stuebler, Petra, Taeschner, Heidrun, Tews, Dietrich, Tschoepe, Diethelm, Wilhelm, Karl, Zeller-Stefan, Helga, Avramidis, Iakovo, Bousboulas, Stavro, Bristianou, Magdalini, Dimitriadis, Georgio, Elisaf, Mose, Kotsa, Kalliopi, Melidonis, Andrea, Mitrakou, Asimina, Pagkalos, Emmanouil, Papanas, Nikolao, Pappas, Angelo, Sampanis, Christo, Tentolouris, Nikolao, Tsapas, Apostolo, Tzatzagou, Glykeria, Ozaki, Risa, Hajdú, Csaba, Harcsa, Eleonóra, Konyves, Laszlo, Mucsi, Jáno, Pauker, Zsolt, Petró, Gizella, Plés, Zsolt, Revesz, Katalin, Sándor, Vangel, Vass, Viktor, Avogaro, Angelo, Boemi, Massimo, Bonadonna, Riccardo, Consoli, Agostino, De Cosmo, Salvatore, Di Bartolo, Paolo, Dotta, Francesco, Frontoni, Simona, Galetta, Marianna, Gambineri, Alessandra, Gazzaruso, Carmine, Giorgino, Francesco, Lauro, Davide, Orsi, Emanuela, Paolisso, Giuseppe, Perriello, Gabriele, Piatti, Piermarco, Pontiroli, Antonio, Ponzani, Paola, Rivellese, Angela Albarosa, Sesti, Giorgio, Tonolo, Giancarlo, Trevisan, Roberto, Ahn, Chul Woo, Baik, Sei-Hyun, Cha, Bong-Soo, Chung, Choon-Hee, Jang, Hak Chul, Kim, Chong-Jin, Kim, Hye Soon, Kim, In Joo, Lee, Eun Young, Lee, Hyoung Woo, Lee, Kwan-Woo, Moon, Keon-Woong, Namgung, June, Park, Kyong Soo, Yoo, Soon Jib, Yu, Jaemyung, Llamas, Edmundo-Alfredo Bayram, Cervantes-Escárcega, Jose-Lui, Flota-Cervera, Luis Fernando, González-González, José Gerardo, Pascoe-Gonzalez, Sara, Pelayo-Orozco, Emilia Susana, Ramirez-Diaz, Santiago-Paulino, Saldana-Mendoza, Arturo, Jerjes-Díaz, Carlos Sánchez, Torres-Colores, Jose Juan, Vidrio-Velázquez, Maricela, Villagordoa-Mesa, Juan, Beijerbacht, Hugo Peter, Groutars, Reginald G. E. J., Hoek, Boudewijn A, Hoogslag, Pieter A. M., Kooy, Adriaan, Kragten, Johannes A., Lieverse, Aloysius G., Swart, Hendrik P., Viergever, Eric P., Ahlqvist, Jørn, Cooper, John, Gulseth, Hanne, Guttormsen, Gaute, Wium, Cecilie, Arbañil, Hugo, Calderon, Jorge, Camacho, Lui, Espinoza, Augusto Dextre, Garrido, Elizabeth, Luna, Alejandro, Manrique, Helard, Revoredo, Frederick Massucco, Gonzales, Rolando Varga, Rincon, Luis Zapata, Zubiate, Carlo, Ebo, Geraldine, Morales-Palomares, Ellen, Arciszewska, Malgorzata, Banach, Marek, Bijata-Bronisz, Renata, Derezinski, Tadeusz, Gadzinski, Waldemar, Gajek, Jacek, Klodawska, Katarzyna, Krzyzagorska, Ewa, Madej, Andrzej, Miekus, Pawel, Opiela, Jaroslaw, Romanczuk, Piotr, Siegel, Anna, Skokowska, Ewa, Stankiewicz, Andrzej, Stasinska, Teresa, Trznadel-Morawska, Iwona, Witek, Robert, Aksentyev, Sergey, Bondar, Irina, Demidova, Irina, Dreval, Alexander, Ershova, Olga, Galstyan, Gagik, Garganeeva, Alla, Izmozherova, Nadezhda, Karetnikova, Victoria, Kharakhulakh, Marina, Khokhlov, Aleksandr, Kobalava, Zhanna, Koshelskaya, Olga, Kosmacheva, Elena, Kostin, Vladimir, Koziolova, Natalia, Kuzin, Anatoly, Lesnov, Victor, Lysenko, Tatyana, Markov, Valentin, Mayorov, Alexander, Moiseev, Sergey, Myasoedova, Svetlana, Petunina, Nina, Rebrov, Andrey, Ruyatkina, Ludmila, Samoylova, Julia, Sazonova, Olga, Shilkina, Natalia, Sokolova, Nadezhda, Vasilevskaya, Olga, Verbovaya, Nelli, Vishneva, Elena, Vorobyev, Sergey, Vorokhobina, Natalya, Zanozina, Olga, Zhdanova, Elena, Zykova, Tatyana, Burgess, Lesley, Coetzee, Kathleen, Dawood, Saleem, Lombard, Landman, Makotoko, Ellen, Moodley, Rajendran, Oosthuysen, Wessel, Sarvan, Mohamed, Calvo Gómez, Carlo, Cano Rodríguez, Isidoro, Castro Conde, Almudena, Cequier Fillat, Angel, Cuatrecasas Cambra, Guillem, de Álvaro Moreno, Fernando, De Teresa Parreño, Lui, Delgado Lista, Javier, Domínguez Escribano, José Ramón, Durán García, Santiago, Elvira González, Javier, Fernández Rodríguez, José María, Goday Arno, Alberto, Gomez Huelgas, Ricardo, González 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Bartone, S, Beaulieu, G, Brown, K, Chau, T, Christian, T, Coker, R, Greene, D, Haddock, T, Jenkins, W, Haque, G, Marquess, M, Pesarchick, J, Rethaford, R, Stone, A, Al Kawas, F, Anderson, M, Enns, R, Sinay, I, Mathieu, C, Yordanov, V, Hramiak, I, Haluzik, M, Galatius, S, Guerci, B, Nauck, M, Migdalis, I, Tan, C, Kocsis, G, Giaccari, A, Lee, M, Munoz, E, Cornel, J, Birkeland, K, Pinto, M, Tirador, L, Olesinska-Mader, M, Shestakova, M, Distiller, L, Lopez-Sendon, J, Eliasson, B, Chiang, C, Srimahachota, S, Mankovsky, B, Bethel, M, Dungan, K, Kosiborod, M, Alvarisqueta, A, Baldovino, J, Besada, D, Calella, P, Cantero, M, Castano, P, Chertkoff, A, Cuadrado, J, De Loredo, L, Dominguez, A, Espanol, M, Finkelstein, H, Frechtel, G, Fretes, J, Garrido Santos, N, Gonzalez, J, Litvak, M, Loureyro, J, Maffei, L, Maldonado, N, Mohr Gasparini, D, Orio, S, Perez Manghi, F, Rodriguez Papini, N, Sala, J, Schygiel, P, Sposetti, G, Ulla, M, Verra, F, Zabalua, S, Zaidman, C, Crenier, L, Debroye, C, Duyck, 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J, Donaubauer, T, Erlinger, R, Funke, K, Grosskopf, J, Hagenow, A, Hamann, M, Hartard, M, Heymer, P, Huppertz, W, Illies, G, Jacob, S, Jung, T, Kahrmann, G, Kast, P, Kellerer, M, Kempe, H, Khariouzov, A, Klausmann, G, Klein, C, Kleinecke-Pohl, U, Kleinertz, K, Koch, T, Kosch, C, Lorra, B, Luedemann, J, Luttermann, M, Maxeiner, S, Milek, K, Moelle, A, Neumann, G, Nischik, R, Oehrig-Pohl, E, Plassmann, G, Pohlmeier, L, Proepper, F, Regner, S, Rieker, W, Rose, L, Samer, H, Sauter, J, Schaper, F, Schiffer, C, Schmidt, J, Scholz, B, Schulze, J, Segner, A, Seufert, J, Sigal, H, Steindorf, J, Stockhausen, J, Stuebler, P, Taeschner, H, Tews, D, Tschoepe, D, Wilhelm, K, Zeller-Stefan, H, Avramidis, I, Bousboulas, S, Bristianou, M, Dimitriadis, G, Elisaf, M, Kotsa, K, Melidonis, A, Mitrakou, A, Pagkalos, E, Papanas, N, Pappas, A, Sampanis, C, Tentolouris, N, Tsapas, A, Tzatzagou, G, Ozaki, R, Hajdu, C, Harcsa, E, Konyves, L, Mucsi, J, Pauker, Z, Petro, G, Ples, Z, Revesz, K, Sandor, V, Vass, V, Avogaro, A, Boemi, M, Bonadonna, R, Consoli, A, De Cosmo, S, Di Bartolo, P, Dotta, F, Frontoni, S, Galetta, M, Gambineri, A, Gazzaruso, C, Giorgino, F, Lauro, D, Orsi, E, Paolisso, G, Perriello, G, Piatti, P, Pontiroli, A, Ponzani, P, Rivellese, A, Sesti, G, Tonolo, G, Trevisan, R, Ahn, C, Baik, S, Cha, B, Chung, C, Jang, H, Kim, C, Kim, H, Kim, I, Lee, E, Lee, H, Lee, K, Moon, K, Namgung, J, Park, K, Yoo, S, Yu, J, Llamas, E, Cervantes-Escarcega, J, Flota-Cervera, L, Gonzalez-Gonzalez, J, Pascoe-Gonzalez, S, Pelayo-Orozco, E, Ramirez-Diaz, S, Saldana-Mendoza, A, Jerjes-Diaz, C, Torres-Colores, J, Vidrio-Velazquez, M, Villagordoa-Mesa, J, Beijerbacht, H, Groutars, R, Hoek, B, Hoogslag, P, Kooy, A, Kragten, J, Lieverse, A, Swart, H, Viergever, E, Ahlqvist, J, Cooper, J, Gulseth, H, Guttormsen, G, Wium, C, Arbanil, H, Calderon, J, Camacho, L, Espinoza, A, Garrido, E, Luna, A, Manrique, H, Revoredo, F, Gonzales, R, Rincon, L, Zubiate, C, Ebo, G, Morales-Palomares, E, Arciszewska, M, Banach, M, Bijata-Bronisz, R, Derezinski, T, Gadzinski, W, Gajek, J, Klodawska, K, Krzyzagorska, E, Madej, A, Miekus, P, Opiela, J, Romanczuk, P, Siegel, A, Skokowska, E, Stankiewicz, A, Stasinska, T, Trznadel-Morawska, I, Witek, R, Aksentyev, S, Bondar, I, Demidova, I, Dreval, A, Ershova, O, Galstyan, G, Garganeeva, A, Izmozherova, N, Karetnikova, V, Kharakhulakh, M, Khokhlov, A, Kobalava, Z, Koshelskaya, O, Kosmacheva, E, Kostin, V, Koziolova, N, Kuzin, A, Lesnov, V, Lysenko, T, Markov, V, Mayorov, A, Moiseev, S, Myasoedova, S, Petunina, N, Rebrov, A, Ruyatkina, L, Samoylova, J, Sazonova, O, Shilkina, N, Sokolova, N, Vasilevskaya, O, Verbovaya, N, Vishneva, E, Vorobyev, S, Vorokhobina, N, Zanozina, O, Zhdanova, E, Zykova, T, Burgess, L, Coetzee, K, Dawood, S, Lombard, L, Makotoko, E, Moodley, R, Oosthuysen, W, Sarvan, M, Calvo Gomez, C, Cano Rodriguez, I, Castro Conde, A, Cequier Fillat, A, Cuatrecasas Cambra, G, de Alvaro Moreno, F, De Teresa Parreno, L, Delgado Lista, J, Dominguez Escribano, J, Duran Garcia, S, Elvira Gonzalez, J, Fernandez Rodriguez, J, Goday Arno, A, Gomez Huelgas, R, Gonzalez Juanatey, J, Hernandez Mijares, A, Jimenez Diaz, V, Jodar Gimeno, E, Lucas Morante, T, Marazuela, M, Martell Claros, N, Mauricio Puente, D, Mena Ribas, E, Merino Torres, J, Mezquita Raya, P, Nubiola Calonge, A, Ordonez Sanchez, X, Pascual Izuel, J, Perea Castilla, V, Perez Perez, A, Perez Soto, I, Quesada Charneco, M, Quesada Simon, A, Redon Mas, J, Rego Iraeta, A, Rodriguez Alvarez, M, Rodriguez Rodriguez, I, Saban Ruiz, J, Soto Gonzalez, A, Tinahones Madueno, F, Trescoli Serrano, C, Ulied Arminana, A, Bachus, E, Berndtsson Blom, K, Eliasson, K, Koskinen, P, Larnefeldt, H, Lif-Tiberg, C, Linderfalk, C, Lund, G, Lundman, P, Moris, L, Olsson, A, Salmonsson, S, Sanmartin Berglund, J, Sjoberg, F, Soderberg, S, Torstensson, I, Chen, J, Tien, K, Tseng, S, Tu, S, Wang, C, Wang, J, Phrommintikul, A, Yamwong, S, Jintapakorn, W, Hutayanon, P, Sansanayudh, N, Bazhan, L, Fushtey, I, Grachova, M, Katerenchuk, V, Korpachev, V, Kravchun, N, Larin, O, Mykhalchyshyn, G, Myshanych, H, Oleksyk, O, Orlenko, V, Pashkovska, N, Pertseva, N, Petrosyan, O, Smirnov, I, Vlasenko, M, Zlova, T, Aye, M, Baksi, A, Balasubramani, M, Beboso, R, Blagden, M, Bundy, C, Cookson, T, Copland, A, Emslie-Smith, A, Green, F, Gunstone, A, Issa, B, Jackson-Voyzey, E, Johnson, A, Maclean, M, Mcknight, J, Muzulu, S, O'Connell, I, Oyesile, B, Patterson, C, Pearson, E, Philip, S, Smith, P, Sukumaran, U, Abbas, J, Aggarwala, G, Akhter, F, Andersen, J, Anglade, M, Argoud, G, Ariani, M, Ashdji, R, Bakhtari, L, Banerjee, S, Bartlett, A, Baum, H, Bays, H, Beasley, R, Belfort de Aguiar, R, Benjamin, S, Bhagwat, R, Bhargava, A, Bode, B, Bratcher, C, Briskin, T, Brockmyre, A, Broughton, R, Brown, J, Budhraja, M, Cannon, K, Carr, J, Cathcart, H, Cavale, A, Chaykin, L, Cheung, D, Childress, R, Cohen, A, Condit, J, Cooksey, E, Cornett, G, Dauber, I, Davila, W, De Armas, L, Dean, J, Detweiler, R, Diaz, E, Di Giovanna, M, Dor, I, Drummond, W, Eagerton, D, Earl, J, Eaton, C, Ellison, H, Farris, N, Fiel, T, Firek, A, First, B, Forgosh, L, French, W, Gandy, W, Garcia, R, Gill, S, Gordon, M, Guice, M, Gummadi, S, Hackenyos, J, Hairston, K, Hanson, L, Harrison, L, Hartman, I, Heitner, J, Hejeebu, S, Hermany, P, Hernandez-Cassis, C, Hidalgo, H, Higgins, A, Ibrahim, H, Jacobs, S, Johnson, D, Joshi, P, Kaster, S, Kellum, D, Kim, E, Kirby, W, Knouse, A, Kulback, S, Kumar, M, Kuruvanka, T, Labroo, A, Lasswell, W, Lentz, J, Lenzmeier, T, Lewis, D, Li, Z, Lillestol, M, Little, R, Lorraine, R, McKeown-Biagas, C, Mcneill, R, Mehta, A, Miller, A, Moran, J, Morawski, E, Nadar, V, O'Connor, T, Odio, A, Parker, R, Patel, R, Phillips, L, Raad, G, Rahman, A, Raikhel, M, Raisinghani, A, Rajan, R, Rasouli, N, Rauzi, F, Rohr, K, Roseman, H, Rovner, S, Saba, F, Sachson, R, Schabauer, A, Schneider, R, Schuchard, T, Sensenbrenner, J, Shlesinger, Y, Singh, N, Sivalingam, K, Stonesifer, L, Storey, D, Suh, D, Tahir, M, Tan, A, Tan, M, Taylon, A, Thakkar, M, Tripathy, D, Uwaifo, G, Vedere, A, Venugopal, C, Vo, A, Welch, M, Welker, J, White, A, Willis, J, Wynne, A, Yazdani, S, Price, L, Lokhngina, Y, Xing, W, Overton, R, Stewart, M, Stead, J, Lindsay, A, Patel, V, Ross, J, Soffer, J, Daga, S, Sowell, M, Patel, P, Garvey, L, Ackert, J, Abraham, S, Sabol, M, Altobelli, D, Ha, J, Kulkarni, M, Noronha, D, Casson, E, Zang, E, Sandhu, C, Kumar, R, Chen, D, Taft, L, Ye, J, Shannon, J, Wilson, T, Babi, C, Miller, D, Russell, R, Bull, G, Hereghty, B, Fernandez-Salazar, E, Longley, T, Donaldson, J, Jarosz, M, Murphy, K, Adams, P, James, R, Richards, J, Sedani, S, Althouse, D, Watson, D, Lorimer, J, Lauder, S, Schultheis, R, Womer, T, Wraight, E, Li, W, Price-Olsen, E, Watson, A, Kelly, A, Mclaughlin, P, Fleming, J, Schubert, J, Schleiden, D, Harris, T, Prakash, R, Breneman, J, Deshpande, S, Saswadkar, A, Kumari, A, Shitut, A, Raorane, A, Karmalkar, A, Mhambrey, A, Bhosale, A, Vaphare, A, Patil, A, Khandelwal, C, Shaik, F, Nadar, M, Karka, M, Kadgaonkar, N, Gupta, N, Aher, N, Potnis, O, Naicker, P, Shinde, R, Sharma, R, Godse, R, Solanki, S, Sahu, S, Dumbre, S, Kumar, S, Patil, S, and Mandal, T
Subjects: Male, Placebo-controlled study, Myocardial Infarction, alanine aminotransferase, albiglutide, bilirubin, placebo, antidiabetic agent, glucagon like peptide 1, rGLP-1 protein, Kaplan-Meier Estimate, 030204 cardiovascular system & hematology, law.invention, 0302 clinical medicine, Randomized controlled trial, law, Glucagon-Like Peptide 1, Cardiovascular Disease, Medicine(all), education.field_of_study, Subcutaneous, Medicine (all), albigutide, Hazard ratio, General Medicine, Middle Aged, Albiglutide, Stroke, Treatment Outcome, Tolerability, Cardiovascular Diseases, Female, type 2 diabetes, Type 2, Human, Adult, medicine.medical_specialty, Injections, Subcutaneous, Population, 030209 endocrinology & metabolism, Placebo, Injections, Subcutaneou, Drug Administration Schedule, Injections, 03 medical and health sciences, Double-Blind Method, Internal medicine, Diabetes Mellitus, medicine, Humans, Hypoglycemic Agents, education, Aged, Diabetes Mellitus, Type 2, Hypoglycemic Agent, business.industry, Semaglutide, Settore MED/13 - ENDOCRINOLOGIA, Harmony, business
Abstract: Background: \ud Glucagon-like peptide 1 receptor agonists differ in chemical structure, duration of action, and in their effects on clinical outcomes. The cardiovascular effects of once-weekly albiglutide in type 2 diabetes are unknown. We aimed to determine the safety and efficacy of albiglutide in preventing cardiovascular death, myocardial infarction, or stroke.\ud \ud Methods: \ud We did a double-blind, randomised, placebo-controlled trial in 610 sites across 28 countries. We randomly assigned patients aged 40 years and older with type 2 diabetes and cardiovascular disease (at a 1:1 ratio) to groups that either received a subcutaneous injection of albiglutide (30–50 mg, based on glycaemic response and tolerability) or of a matched volume of placebo once a week, in addition to their standard care. Investigators used an interactive voice or web response system to obtain treatment assignment, and patients and all study investigators were masked to their treatment allocation. We hypothesised that albiglutide would be non-inferior to placebo for the primary outcome of the first occurrence of cardiovascular death, myocardial infarction, or stroke, which was assessed in the intention-to-treat population. If non-inferiority was confirmed by an upper limit of the 95% CI for a hazard ratio of less than 1·30, closed testing for superiority was prespecified. This study is registered with ClinicalTrials.gov, number NCT02465515.\ud \ud Findings: \ud Patients were screened between July 1, 2015, and Nov 24, 2016. 10 793 patients were screened and 9463 participants were enrolled and randomly assigned to groups: 4731 patients were assigned to receive albiglutide and 4732 patients to receive placebo. On Nov 8, 2017, it was determined that 611 primary endpoints and a median follow-up of at least 1·5 years had accrued, and participants returned for a final visit and discontinuation from study treatment; the last patient visit was on March 12, 2018. These 9463 patients, the intention-to-treat population, were evaluated for a median duration of 1·6 years and were assessed for the primary outcome. The primary composite outcome occurred in 338 (7%) of 4731 patients at an incidence rate of 4·6 events per 100 person-years in the albiglutide group and in 428 (9%) of 4732 patients at an incidence rate of 5·9 events per 100 person-years in the placebo group (hazard ratio 0·78, 95% CI 0·68–0·90), which indicated that albiglutide was superior to placebo (p
Published: 2018

20. Segmenting and Targeting Irrigators’ Preferences Regarding Proposed Water Transfers

Author: Henning Bjornlund, Katherine C. Lafreniere, Sameer Deshpande, Lafreniere, Katherine C, Deshpande, Sameer, and Bjornlund, Henning
Subjects: Resource (biology), Sociology and Political Science, water transfers, Environmental Science (miscellaneous), Development, irrigation, Water scarcity, Environmental issue, Market segmentation, Political agenda, environmental policy, water management, Economics, Natural resource management, business.industry, market segmentation, Environmental resource management, water scarcity, Environmental economics, social marketing, Conjoint analysis, Water resources, water policy, conjoint analysis, marketing strategy, business
Abstract: Sharing water is a contentious environmental issue. Irrigation controls the majority of water resources, but international experiences illustrate that irrigators are reluctant to share their water. How can resource managers achieve acceptance of water-sharing policies to meet the changing needs of society? This study focuses on strategies for selling a political agenda related to water transfers from agriculture. A survey was conducted with 275 irrigators in the western Canadian province of Alberta to assess how attributes that define a water transfer influence irrigators’ acceptance rates. Results indicated that the purpose of the transfer was the most important attribute. Six segments emerged based on perceptions of attributes. Greenies, Water Savers, and Efficiency Savers considered environmental attributes, whereas Personal Gainers and Municipal Friends considered personal and municipal attributes. Nay Sayers rejected transfers regardless of attributes. These results provide recommendations for resource managers attempting to persuade irrigators to share their water. Refereed/Peer-reviewed
Published: 2015

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13. sj-pdf-1-wmr-10.1177_0734242X20985608 – Supplemental material for Influencing household-level waste-sorting and composting behaviour: What works? A systematic review (1995–2020) of waste management interventions

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18. Protocol for an Observational Study on the Effects of Playing High School Football on Later Life Cognitive Functioning and Mental Health

19. Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial

20. Segmenting and Targeting Irrigators’ Preferences Regarding Proposed Water Transfers

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