39 results on '"Pedder, Hugo"'
Search Results
2. Silence is golden, but my measures still see—why cheaper-but-noisier outcome measures in large simple trials can be more cost-effective than gold standards
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Woolf, Benjamin, Pedder, Hugo, Rodriguez-Broadbent, Henry, and Edwards, Phil
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- 2024
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3. Contextual effects: how to, and how not to, quantify them
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Saueressig, Tobias, Pedder, Hugo, Owen, Patrick J, and Belavy, Daniel L
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- 2024
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4. Bridging the gap : using evidence synthesis to incorporate information from drug development into Health Technology Appraisal and beyond
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Pedder, Hugo, Phillippo, David, and Welton, Nicky
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evidence synthsis ,NMA ,MBNMA ,HTA ,drug development - Abstract
Within the drug development process, drugs are first tested in preclinical trials consisting of animal and/or in vitro studies, followed by several phases of clinical trials in humans. For a new drug to be licensed it must pass through regulatory approval and, for it to be reimbursed by a national healthcare provider such as the UK NHS, be assessed in a Health Technology Appraisal (HTA). Treatments may subsequently be evaluated and recommended as part of national or international guidelines. Synthesis of evidence is performed at different points throughout this process, but often in relative isolation and using different methodologies. Furthermore, available evidence can be sparse, which poses challenges for robust synthesis, particularly if such analyses are intended to inform decision-making. This thesis aims to characterise the use of evidence synthesis within drug development and reimbursement, and to explore which sources of data may be useful at different points for decision-making by addressing the following questions: 1. What are the barriers to using evidence synthesis to support translation of research findings from preclinical studies to human trials? 2. What robust methods can we use to incorporate dose-response and time-course information into evidence synthesis? 3. Can we use early phase evidence to connect evidence networks in reimbursement decision-making? 4. Which tools may be helpful for evidence synthesis of drug development trials? The thesis includes published papers and software to explore these questions, including developing and evaluating a framework for explicitly modelling dose-response and time-course relationships using Model-Based Network Meta-Analysis (MBNMA). The integrative chapter places these developments in the context of other work, discusses strengths and limitations of proposed approaches, and suggests future research that could build upon the work in the thesis.
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- 2023
5. A systematic review and network meta-analysis of psychological, psychosocial, pharmacological, physical and combined treatments for adults with a new episode of depression
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Mavranezouli, Ifigeneia, Megnin-Viggars, Odette, Pedder, Hugo, Welton, Nicky J., Dias, Sofia, Watkins, Edward, Nixon, Neil, Daly, Caitlin H., Keeney, Edna, Eadon, Hilary, Caldwell, Deborah M., O'Donoghue, Katriona J.M., Stockton, Sarah, Arnold, Stephanie, Thomas, James, Kapur, Navneet, and Pilling, Stephen
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- 2024
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6. Are some people more susceptible to placebos? A systematic review and meta-analysis of inter-individual variability in musculoskeletal pain
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Saueressig, Tobias, Owen, Patrick J., Pedder, Hugo, Kaczorowski, Svenja, Miller, Clint T., Donath, Lars, and Belavý, Daniel L.
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- 2024
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7. Variability in meta-analysis estimates of continuous outcomes using different standardization and scale-specific re-expression methods
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Gallardo-Gómez, Daniel, Pedder, Hugo, Welton, Nicky J., Dwan, Kerry, and Dias, Sofia
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- 2024
- Full Text
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8. Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020
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Shrikhande, Shreya S., Pedder, Hugo, Röösli, Martin, Dalvie, Mohamed Aqiel, Lakshmanasamy, Ravivarman, Gasparrini, Antonio, Utzinger, Jürg, and Cissé, Guéladio
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- 2023
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9. Boosting treatment outcomes via the patient-practitioner relationship, treatment-beliefs or therapeutic setting. A systematic review with meta-analysis of contextual effects in chronic musculoskeletal pain
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Saueressig, Tobias, primary, Owen, Patrick J, additional, Pedder, Hugo, additional, Arora, Nitin Kumar, additional, Simons, Marieke, additional, Kaczorowski, Svenja, additional, Miller, Clint T, additional, Donath, Lars, additional, and Belavy, Daniel L, additional
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- 2024
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10. Factors affecting shared decision‐making concerning menopausal hormone therapy.
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Koysombat, Kanyada, Mukherjee, Annice, Nyunt, Sandhi, Pedder, Hugo, Vinogradova, Yana, Burgin, Jo, Dave, Harshida, Comninos, Alexander N., Talaulikar, Vikram, Bailey, Julia V., Dhillo, Waljit S., and Abbara, Ali
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HORMONE therapy for menopause ,HORMONE therapy ,MEDICAL personnel ,SATISFACTION ,PATIENT compliance - Abstract
Menopausal hormone therapy (MHT) is an effective treatment for menopause‐related symptoms. Menopause management guidelines recommend a personalized approach to menopause care, including MHT use. Decision‐making around menopause care is a complex, iterative process influenced by multiple factors framed by perspectives from both women and healthcare providers (HCPs). This narrative review aims to summarize evidence around factors affecting decision‐making regarding menopause‐related care. For HCPs, the provision of individualized risk estimates is challenging in practice given the number of potential benefits and risks to consider, and the complexity of the data available, especially within time‐limited consultations. Women seeking menopause care have the difficult task of making sense of the benefit versus risk profiles to make choices in line with their decisional needs influenced by sociocultural/economic, educational, demographic, and personal characteristics. The press, social media, and influential celebrities also impact the perception of menopause and decision‐making around it. Understanding these factors can lead to improved participation in shared decision‐making, satisfaction with the decision and decision‐making process, adherence to treatment, reduced decisional regret, efficient use of resources, and ultimately long‐term satisfaction with care. [ABSTRACT FROM AUTHOR]
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- 2024
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11. DOSage of Exercise for chronic low back pain disorders (DOSE): protocol for a systematic review with dose-response network meta-analysis.
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Arora, Nitin Kumar, Donath, Lars, Owen, Patrick J., Miller, Clint T., Kaczorowski, Svenja, Saueressig, Tobias, Pedder, Hugo, Mundell, Niamh L., Tagliaferri, Scott D., Diwan, Ashish, Xiaolong Chen, Xiaohui Zhao, Huessler, Eva-Maria, Ehrenbrusthoff, Katja, Ford, Jon J., Hahne, Andrew J., Hammel, Ludwig, Norda, Heike, and Belavy, Daniel L.
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- 2024
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12. The importance of context (placebo effects) in conservative interventions for musculoskeletal pain: A systematic review and meta‐analysis of randomized controlled trials.
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Saueressig, Tobias, Owen, Patrick J., Pedder, Hugo, Tagliaferri, Scott, Kaczorowski, Svenja, Altrichter, Adina, Richard, Antonia, Miller, Clint T., Donath, Lars, and Belavy, Daniel L.
- Abstract
Background and Objective: Contextual effects (e.g. patient expectations) may play a role in treatment effectiveness. This study aimed to estimate the magnitude of contextual effects for conservative, non‐pharmacological interventions for musculoskeletal pain conditions. A systematic review and meta‐analysis of randomized controlled trials (RCTs) that compared placebo conservative non‐pharmacological interventions to no treatment for musculoskeletal pain. The outcomes assessed included pain intensity, physical functioning, health‐related quality of life, global rating of change, depression, anxiety and sleep at immediate, short‐, medium‐ and/or long‐term follow‐up. Databases and Data Treatment: MEDLINE, EMBASE, CINAHL, Web of Science Core Collection, CENTRAL and SPORTDiscus were searched from inception to September 2021. Trial registry searches, backward and forward citation tracking and searches for prior systematic reviews were completed. The Cochrane risk of bias 2 tool was implemented. Results: The study included 64 RCTs (N = 4314) out of 8898 records. For pain intensity, a mean difference of (MD: −5.32, 95% confidence interval (CI): −7.20, −3.44, N = 57 studies with 74 outcomes, GRADE: very low) was estimated for placebo interventions. A small effect in favour of the placebo interventions for physical function was estimated (SMD: −0.22, 95% CI: −0.35, −0.09; N = 37 with 48 outcomes, GRADE: very low). Similar results were found for a broad range of patient‐reported outcomes. Meta‐regression analyses did not explain heterogeneity among analyses. Conclusion: The study found that the contextual effect of non‐pharmacological conservative interventions for musculoskeletal conditions is likely to be small. However, given the known effect sizes of recommended evidence‐based treatments for musculoskeletal conditions, it may still contribute an important component. Significance: Contextual effects of non‐pharmacological conservative interventions for musculoskeletal conditions are likely to be small for a broad range of patient‐reported outcomes (pain intensity, physical function, quality of life, global rating of change and depression). Contextual effects are unlikely, in isolation, to offer much clinical care. But these factors do have relevance in an overall treatment context as they provide almost 30% of the minimally clinically important difference. [ABSTRACT FROM AUTHOR]
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- 2024
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13. Monotreatment With Conventional Antirheumatic Drugs or Glucocorticoids in Rheumatoid Arthritis
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Guski, Louise S., primary, Jürgens, Gesche, additional, Pedder, Hugo, additional, Levinsen, Niels K. G., additional, Andersen, Stig E., additional, Welton, Nicky J., additional, and Graudal, Niels, additional
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- 2023
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14. Optimal dose and type of physical activity to improve functional capacity and minimise adverse events in acutely hospitalised older adults: a systematic review with dose-response network meta-analysis of randomised controlled trials
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Gallardo-Gómez, Daniel, primary, del Pozo-Cruz, Jesús, additional, Pedder, Hugo, additional, Alfonso-Rosa, Rosa M, additional, Álvarez-Barbosa, Francisco, additional, Noetel, Michael, additional, Jasper, Unyime, additional, Chastin, Sebastien, additional, Ramos-Munell, Javier, additional, and del Pozo Cruz, Borja, additional
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- 2023
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15. An evaluation of menopause service delivery during the COVID-19 pandemic
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Pedder, Hugo, primary, Robinson, Lynne, additional, Abernethy, Kathy, additional, Hamoda, Haitham, additional, and Marsden, Jo, additional
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- 2023
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16. A many-analysts approach to the relation between religiosity and well-being
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Hoogeveen, Suzanne, Sarafoglou, Alexandra, Aczel, Balazs, Aditya, Yonathan, Alayan, Alexandra J., Allen, Peter J., Altay, Sacha, Alzahawi, Shilaan, Amir, Yulmaida, Anthony, Francis-Vincent, Appiah, Obed Kwame, Atkinson, Quentin D., Baimel, Adam, Balkaya-Ince, Merve, Balsamo, Michela, Banker, Sachin, Bartos, Frantisek, Becerra, Mario, Beffara, Bertrand, Beitner, Julia, Bendixen, Theiss, Berkessel, Jana B., Berniunas, Renatas, Billet, Matthew, Billingsley, Joseph, Bortolini, Tiago, Breitsohl, Heiko, Bret, Amelie, Brown, Faith L., Brown, Jennifer, Brumbaugh, Claudia C., Buczny, Jacek, Bulbulia, Joseph, Caballero, Saul, Carlucci, Leonardo, Carmichael, Cheryl L., Cattaneo, Marco E. G., Charles, Sarah J., Claessens, Scott, Panagopoulos, Maxinne C., Costa, Angelo Brandelli, Crone, Damien L., Czoschke, Stefan, Czymara, Christian, D'Urso, E. Damiano, Dahlstrom, Orjan, Dalla Rosa, Anna, Danielsson, Henrik, De Ron, Jill, de Vries, Ymkje Anna, Dean, Kristy K., Dik, Bryan J., Disabato, David J., Doherty, Jaclyn K., Draws, Tim, Drouhot, Lucas, Dujmovic, Marin, Dunham, Yarrow, Ebert, Tobias, Edelsbrunner, Peter A., Eerland, Anita, Elbaek, Christian T., Farahmand, Shole, Farahmand, Hooman, Farias, Miguel, Feliccia, Abrey A., Fischer, Kyle, Fischer, Ronald, Fisher-Thompson, Donna, Francis, Zoe, Frick, Susanne, Frisch, Lisa K., Geraldes, Diogo, Gerdin, Emily, Geven, Linda, Ghasemi, Omid, Gielens, Erwin, Gligoric, Vukasin, Hagel, Kristin, Hajdu, Nandor, Hamilton, Hannah R., Hamzah, Imaduddin, Hanel, Paul H. P., Hawk, Christopher E., Himawan, Karel K., Holding, Benjamin C., Homman, Lina E., Ingendahl, Moritz, Inkila, Hilla, Inman, Mary L., Islam, Chris-Gabriel, Isler, Ozan, Izydorczyk, David, Jaeger, Bastian, Johnson, Kathryn A., Jong, Jonathan, Karl, Johannes A., Kaszubowski, Erikson, Katz, Benjamin A., Keefer, Lucas A., Kelchtermans, Stijn, Kelly, John M., Klein, Richard A., Kleinberg, Bennett, Knowles, Megan L., Kolczynska, Marta, Koller, Dave, Krasko, Julia, Kritzler, Sarah, Krypotos, Angelos-Miltiadis, Kyritsis, Thanos, Landes, Todd L., Laukenmann, Ruben, Forsyth, Guy A. Lavender, Lazar, Aryeh, Lehman, Barbara J., Levy, Neil, Lo, Ronda F., Lodder, Paul, Lorenz, Jennifer, Lowicki, Pawel, Ly, Albert L., Maassen, Esther, Magyar-Russell, Gina M., Maier, Maximilian, Marsh, Dylan R., Martinez, Nuria, Martinie, Marcellin, Martoyo, Ihan, Mason, Susan E., Mauritsen, Anne Lundahl, McAleer, Phil, McCauley, Thomas, McCullough, Michael, McKay, Ryan, McMahon, Camilla M., McNamara, Amelia A., Means, Kira K., Mercier, Brett, Mitkidis, Panagiotis, Monin, Benoit, Moon, Jordan W., Moreau, David, Morgan, Jonathan, Murphy, James, Muscatt, George, Nagel, Christof, Nagy, Tamas, Nalborczyk, Ladislas, Nilsonne, Gustav, Noack, Pamina, Norenzayan, Ara, Nuijten, Michele B., Olsson-Collentine, Anton, Oviedo, Lluis, Pavlov, Yuri G., Pawelski, James O., Pearson, Hannah, Pedder, Hugo, Peetz, Hannah K., Pinus, Michael, Pirutinsky, Steven, Polito, Vince, Porubanova, Michaela, Poulin, Michael J., Prenoveau, Jason M., Prince, Mark A., Protzko, John, Pryor, Campbell, Purzycki, Benjamin G., Qiu, Lin, Putter, Julian Quevedo, Rabelo, Andre, Radell, Milen L., Ramsay, Jonathan E., Reid, Graham, Roberts, Andrew J., Luna, Lindsey M. Root, Ross, Robert M., Roszak, Piotr, Roy, Nirmal, Saarelainen, Suvi-Maria K., Sasaki, Joni Y., Schaumans, Catherine, Schivinski, Bruno, Schmitt, Marcel C., Schnitker, Sarah A., Schnuerch, Martin, Schreiner, Marcel R., Schuttengruber, Victoria, Sebben, Simone, Segerstrom, Suzanne C., Seryczynska, Berenika, Shjoedt, Uffe, Simsek, Muge, Sleegers, Willem W. A., Smith, Eliot R., Sowden, Walter J., Spath, Marion, Sporlein, Christoph, Stedden, William, Stoevenbelt, Andrea H., Stuber, Simon, Sulik, Justin, Suwartono, Christiany, Syropoulos, Stylianos, Szaszi, Barnabas, Szecsi, Peter, Tappin, Ben M., Tay, Louis, Thibault, Robert T., Thompson, Burt, Thurn, Christian M., Torralba, Josefa, Tuthill, Shelby D., Ullein, Ann-Marie, Van Aert, Robbie C. M., van Assen, Marcel A. L. M., Van Cappellen, Patty, van den Akker, Olmo R., Van der Cruyssen, Ine, Van der Noll, Jolanda, van Dongen, Noah N. N., Van Lissa, Caspar J., van Mulukom, Valerie, van Ravenzwaaij, Don, van Zyl, Casper J. J., Vaughn, Leigh Ann, Verschuere, Bruno, Vianello, Michelangelo, Vilanova, Felipe, Vishkin, Allon, Vogel, Vera, Vogelsmeier, Leonie V. D. E., Watanabe, Shoko, White, Cindel J. M., Wiebels, Kristina, Wiechert, Sera, Willett, Zachary Z., Witkowiak, Maciej, Witvliet, Charlotte V. O., Wiwad, Dylan, Wuyts, Robin, Xygalatas, Dimitris, Yang, Xin, Yeo, Darren J., Yilmaz, Onurcan, Zarzeczna, Natalia, Zhao, Yitong, Zijlmans, Josjan, van Elk, Michiel, Wagenmakers, Eric-Jan, Hoogeveen, Suzanne, Sarafoglou, Alexandra, Aczel, Balazs, Aditya, Yonathan, Alayan, Alexandra J., Allen, Peter J., Altay, Sacha, Alzahawi, Shilaan, Amir, Yulmaida, Anthony, Francis-Vincent, Appiah, Obed Kwame, Atkinson, Quentin D., Baimel, Adam, Balkaya-Ince, Merve, Balsamo, Michela, Banker, Sachin, Bartos, Frantisek, Becerra, Mario, Beffara, Bertrand, Beitner, Julia, Bendixen, Theiss, Berkessel, Jana B., Berniunas, Renatas, Billet, Matthew, Billingsley, Joseph, Bortolini, Tiago, Breitsohl, Heiko, Bret, Amelie, Brown, Faith L., Brown, Jennifer, Brumbaugh, Claudia C., Buczny, Jacek, Bulbulia, Joseph, Caballero, Saul, Carlucci, Leonardo, Carmichael, Cheryl L., Cattaneo, Marco E. G., Charles, Sarah J., Claessens, Scott, Panagopoulos, Maxinne C., Costa, Angelo Brandelli, Crone, Damien L., Czoschke, Stefan, Czymara, Christian, D'Urso, E. Damiano, Dahlstrom, Orjan, Dalla Rosa, Anna, Danielsson, Henrik, De Ron, Jill, de Vries, Ymkje Anna, Dean, Kristy K., Dik, Bryan J., Disabato, David J., Doherty, Jaclyn K., Draws, Tim, Drouhot, Lucas, Dujmovic, Marin, Dunham, Yarrow, Ebert, Tobias, Edelsbrunner, Peter A., Eerland, Anita, Elbaek, Christian T., Farahmand, Shole, Farahmand, Hooman, Farias, Miguel, Feliccia, Abrey A., Fischer, Kyle, Fischer, Ronald, Fisher-Thompson, Donna, Francis, Zoe, Frick, Susanne, Frisch, Lisa K., Geraldes, Diogo, Gerdin, Emily, Geven, Linda, Ghasemi, Omid, Gielens, Erwin, Gligoric, Vukasin, Hagel, Kristin, Hajdu, Nandor, Hamilton, Hannah R., Hamzah, Imaduddin, Hanel, Paul H. P., Hawk, Christopher E., Himawan, Karel K., Holding, Benjamin C., Homman, Lina E., Ingendahl, Moritz, Inkila, Hilla, Inman, Mary L., Islam, Chris-Gabriel, Isler, Ozan, Izydorczyk, David, Jaeger, Bastian, Johnson, Kathryn A., Jong, Jonathan, Karl, Johannes A., Kaszubowski, Erikson, Katz, Benjamin A., Keefer, Lucas A., Kelchtermans, Stijn, Kelly, John M., Klein, Richard A., Kleinberg, Bennett, Knowles, Megan L., Kolczynska, Marta, Koller, Dave, Krasko, Julia, Kritzler, Sarah, Krypotos, Angelos-Miltiadis, Kyritsis, Thanos, Landes, Todd L., Laukenmann, Ruben, Forsyth, Guy A. Lavender, Lazar, Aryeh, Lehman, Barbara J., Levy, Neil, Lo, Ronda F., Lodder, Paul, Lorenz, Jennifer, Lowicki, Pawel, Ly, Albert L., Maassen, Esther, Magyar-Russell, Gina M., Maier, Maximilian, Marsh, Dylan R., Martinez, Nuria, Martinie, Marcellin, Martoyo, Ihan, Mason, Susan E., Mauritsen, Anne Lundahl, McAleer, Phil, McCauley, Thomas, McCullough, Michael, McKay, Ryan, McMahon, Camilla M., McNamara, Amelia A., Means, Kira K., Mercier, Brett, Mitkidis, Panagiotis, Monin, Benoit, Moon, Jordan W., Moreau, David, Morgan, Jonathan, Murphy, James, Muscatt, George, Nagel, Christof, Nagy, Tamas, Nalborczyk, Ladislas, Nilsonne, Gustav, Noack, Pamina, Norenzayan, Ara, Nuijten, Michele B., Olsson-Collentine, Anton, Oviedo, Lluis, Pavlov, Yuri G., Pawelski, James O., Pearson, Hannah, Pedder, Hugo, Peetz, Hannah K., Pinus, Michael, Pirutinsky, Steven, Polito, Vince, Porubanova, Michaela, Poulin, Michael J., Prenoveau, Jason M., Prince, Mark A., Protzko, John, Pryor, Campbell, Purzycki, Benjamin G., Qiu, Lin, Putter, Julian Quevedo, Rabelo, Andre, Radell, Milen L., Ramsay, Jonathan E., Reid, Graham, Roberts, Andrew J., Luna, Lindsey M. Root, Ross, Robert M., Roszak, Piotr, Roy, Nirmal, Saarelainen, Suvi-Maria K., Sasaki, Joni Y., Schaumans, Catherine, Schivinski, Bruno, Schmitt, Marcel C., Schnitker, Sarah A., Schnuerch, Martin, Schreiner, Marcel R., Schuttengruber, Victoria, Sebben, Simone, Segerstrom, Suzanne C., Seryczynska, Berenika, Shjoedt, Uffe, Simsek, Muge, Sleegers, Willem W. A., Smith, Eliot R., Sowden, Walter J., Spath, Marion, Sporlein, Christoph, Stedden, William, Stoevenbelt, Andrea H., Stuber, Simon, Sulik, Justin, Suwartono, Christiany, Syropoulos, Stylianos, Szaszi, Barnabas, Szecsi, Peter, Tappin, Ben M., Tay, Louis, Thibault, Robert T., Thompson, Burt, Thurn, Christian M., Torralba, Josefa, Tuthill, Shelby D., Ullein, Ann-Marie, Van Aert, Robbie C. M., van Assen, Marcel A. L. M., Van Cappellen, Patty, van den Akker, Olmo R., Van der Cruyssen, Ine, Van der Noll, Jolanda, van Dongen, Noah N. N., Van Lissa, Caspar J., van Mulukom, Valerie, van Ravenzwaaij, Don, van Zyl, Casper J. J., Vaughn, Leigh Ann, Verschuere, Bruno, Vianello, Michelangelo, Vilanova, Felipe, Vishkin, Allon, Vogel, Vera, Vogelsmeier, Leonie V. D. E., Watanabe, Shoko, White, Cindel J. M., Wiebels, Kristina, Wiechert, Sera, Willett, Zachary Z., Witkowiak, Maciej, Witvliet, Charlotte V. O., Wiwad, Dylan, Wuyts, Robin, Xygalatas, Dimitris, Yang, Xin, Yeo, Darren J., Yilmaz, Onurcan, Zarzeczna, Natalia, Zhao, Yitong, Zijlmans, Josjan, van Elk, Michiel, and Wagenmakers, Eric-Jan
- Abstract
The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported beta = 0.120). For the second research question, this was the case for 65% of the teams (median reported beta = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates.
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- 2023
17. Variability in Meta-Analysis Estimates of Continuous Outcomes Using Different Standardization and Scale-Specific Re-Expression Methods
- Author
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Gallardo-Gómez, Daniel, primary, Pedder, Hugo, additional, Welton, Nicky J., additional, Dwan, Kerry, additional, and Dias, Sofia, additional
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- 2023
- Full Text
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18. Supplemental Material - An evaluation of menopause service delivery during the COVID-19 pandemic
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Pedder, Hugo, Robinson, Lynne, Abernethy, Kathy, Hamoda, Haitham, and Marsden, Jo
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FOS: Clinical medicine ,111402 Obstetrics and Gynaecology - Abstract
Supplemental Material for An evaluation of menopause service delivery during the COVID-19 pandemic by Hugo Pedder, Lynne Robinson, Kathy Abernethy, Haitham Hamoda and Jo Marsden in Post Reproductive Health
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- 2023
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19. Additional file 1 of Participant retention in paediatric randomised controlled trials published in six major journals 2015–2019: systematic review and meta-analysis
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Gaunt, Daisy M., Papastavrou Brooks, Cat, Pedder, Hugo, Crawley, Esther, Horwood, Jeremy, and Metcalfe, Chris
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Additional file 1: Appendix 1. Search strategy. Appendix 2. Data extraction proforma. Appendix 3. Protocol.
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- 2023
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20. Additional file 1 of Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020
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Shrikhande, Shreya S., Pedder, Hugo, Röösli, Martin, Dalvie, Mohammad Aqiel, Lakshmanasamy, Ravivarman, Gasparrini, Antonio, Utzinger, Jürg, and Cissé, Guéladio
- Abstract
Additional file 1: Table S1. CVD classification code system used in this study. ICD-10 codes (given in brackets) have been adapted to form the categories used in this study. We divided the CVDs into 3 broad categories, namely ischemic heart diseases, cerebrovascular accidents, and other heart diseases, which included 7 sub-categories, Table S2. Distribution of climate variables based on population characteristics, Figure S1. Comparison of the Tapp-mortality association in models with varying knot placements. Model 1 has 2 equally placed knots, model2 has 3 knots at the 5th, 50th and 95th percentile of the Tapp model3 has 3 knots at the 25th, 50th and 75th percentile and model 4 has 2 knots on the 5th and 95th percentile of the Tapp, Figure S2. Individual exposure-response associations for the 4 models depicted in figure S1, Figure S3. Comparison of the exposure-response association assuming either a Quasi-poisson or conditional logistic regression with binomial likelihood, such as the one we used, Figure S4. Comparison of the exposure-response association using the complete 10 year data set with cases only from the cardiology department for 2011-2015 and from both the cardiology department and all other departments for 2016-2020 vs using only 5 year data with cases from all the departments from 2016-2020, Figure S5. Annual trends in CVD admissions and mortality, Figure S6. 3D- model depicting the RR for the lagged exposure-response association, Figure S7. Comparison of the exposure-response association using the complete 10 year data set vs restricting it to patients who spent less than 10 days in hospital. The black line depicts the overall association while the grey line depicts the patients who spent less than 10 days admitted to hospital before dying, Figure S8. Exposure-response association at different lag days. a.) 1 day, b.) 5 days, c.) 10 days and d.) 20 days, Figure S9. The role of co-morbidities in the exposure-response association. a.) population with co-morbidities and b.) Population without co-morbidities, Figure S11. Comparison of daily Tapp values from the two weather stations we used in our analysis, namely Cuddalore and Puducherry, Figure S12. Comparison of daily Tapp values from the two weather stations we used in our analysis, namely Cuddalore and Puducherry, along with the average of both which we used in our model (depicted in black).
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- 2023
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21. The Association between Apparent Temperature and Hospital Admissions for Cardiovascular Disease in Limpopo Province, South Africa
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Bühler, Jacqueline Lisa, primary, Shrikhande, Shreya, additional, Kapwata, Thandi, additional, Cissé, Guéladio, additional, Liang, Yajun, additional, Pedder, Hugo, additional, Kwiatkowski, Marek, additional, Kunene, Zamantimande, additional, Mathee, Angela, additional, Peer, Nasheeta, additional, and Wright, Caradee Y., additional
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- 2022
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22. Open research case study - Human Geography (Environmental Sciences, Ecology and Geography)
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Pedder, Hugo, primary and Thompson, Jacqueline, additional
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- 2022
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23. An evaluation of reproducibility and errors in statistical power calculations performed using G*Power
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Thibault, Robert, Zavalis, Emmanuel, Malički, Mario, Goodman, Steve, Munafo, Marcus, and Pedder, Hugo
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Data_FILES ,Medicine and Health Sciences ,Life Sciences ,meta-research ,Social and Behavioral Sciences ,sample size ,statistical power - Abstract
All preregistration information about this study is available in the archived OSF project. Select the "Files" tab on the left of this webpage to view these files, which include the protocol and protocol code.
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- 2022
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24. Sample size justifications and calculations in top-ranked medical journals
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Rivera, Esteban, Ncube, Bongiwe, Pedder, Hugo, and Thibault, Robert
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power calculations ,Medicine and Health Sciences ,meta-research ,sample size ,statistical power - Abstract
In this study, we assess whether articles published in the "big-five" medical journals--as well as their associated registrations and study protocols--contain sample size justifications and/or sample size calculations.
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- 2022
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25. Climate change and cardiovascular disease mortality: exploring the association in Puducherry, India
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Shrikhande, Shreya, primary, Pedder, Hugo, additional, Roosli, Martin, additional, Dalvie, Mohamed Aqiel, additional, Ravivarman, Lakshmanasamy, additional, Gasparrini, Antonio, additional, Utzinger, Juerg, additional, and Cisse, Gueladio, additional
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- 2022
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26. Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2010 and 2020
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Shrikhande, Shreya S, primary, Pedder, Hugo, additional, Röösli, Martin, additional, Dalvie, Mohammad Aqiel, additional, Lakshmanasamy, Ravivarman, additional, Gasparrini, Antonio, additional, Utzinger, Jürg, additional, and Cissé, Guéladio, additional
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- 2022
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27. A many-analysts approach to the relation between religiosity and well-being
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Hoogeveen, Suzanne, primary, Sarafoglou, Alexandra, additional, Aczel, Balazs, additional, Aditya, Yonathan, additional, Alayan, Alexandra J., additional, Allen, Peter J., additional, Altay, Sacha, additional, Alzahawi, Shilaan, additional, Amir, Yulmaida, additional, Anthony, Francis-Vincent, additional, Kwame Appiah, Obed, additional, Atkinson, Quentin D., additional, Baimel, Adam, additional, Balkaya-Ince, Merve, additional, Balsamo, Michela, additional, Banker, Sachin, additional, Bartoš, František, additional, Becerra, Mario, additional, Beffara, Bertrand, additional, Beitner, Julia, additional, Bendixen, Theiss, additional, Berkessel, Jana B., additional, Berniūnas, Renatas, additional, Billet, Matthew I., additional, Billingsley, Joseph, additional, Bortolini, Tiago, additional, Breitsohl, Heiko, additional, Bret, Amélie, additional, Brown, Faith L., additional, Brown, Jennifer, additional, Brumbaugh, Claudia C., additional, Buczny, Jacek, additional, Bulbulia, Joseph, additional, Caballero, Saúl, additional, Carlucci, Leonardo, additional, Carmichael, Cheryl L., additional, Cattaneo, Marco E. G. V., additional, Charles, Sarah J., additional, Claessens, Scott, additional, Panagopoulos, Maxinne C., additional, Costa, Angelo Brandelli, additional, Crone, Damien L., additional, Czoschke, Stefan, additional, Czymara, Christian, additional, D'Urso, E. Damiano, additional, Dahlström, Örjan, additional, Rosa, Anna Dalla, additional, Danielsson, Henrik, additional, De Ron, Jill, additional, de Vries, Ymkje Anna, additional, Dean, Kristy K., additional, Dik, Bryan J., additional, Disabato, David J., additional, Doherty, Jaclyn K., additional, Draws, Tim, additional, Drouhot, Lucas, additional, Dujmovic, Marin, additional, Dunham, Yarrow, additional, Ebert, Tobias, additional, Edelsbrunner, Peter A., additional, Eerland, Anita, additional, Elbaek, Christian T., additional, Farahmand, Shole, additional, Farahmand, Hooman, additional, Farias, Miguel, additional, Feliccia, Abrey A., additional, Fischer, Kyle, additional, Fischer, Ronald, additional, Fisher-Thompson, Donna, additional, Francis, Zoë, additional, Frick, Susanne, additional, Frisch, Lisa K., additional, Geraldes, Diogo, additional, Gerdin, Emily, additional, Geven, Linda, additional, Ghasemi, Omid, additional, Gielens, Erwin, additional, Gligorić, Vukašin, additional, Hagel, Kristin, additional, Hajdu, Nandor, additional, Hamilton, Hannah R., additional, Hamzah, Imaduddin, additional, Hanel, Paul H. P., additional, Hawk, Christopher E., additional, K. Himawan, Karel, additional, Holding, Benjamin C., additional, Homman, Lina E., additional, Ingendahl, Moritz, additional, Inkilä, Hilla, additional, Inman, Mary L., additional, Islam, Chris-Gabriel, additional, Isler, Ozan, additional, Izydorczyk, David, additional, Jaeger, Bastian, additional, Johnson, Kathryn A., additional, Jong, Jonathan, additional, Karl, Johannes A., additional, Kaszubowski, Erikson, additional, Katz, Benjamin A., additional, Keefer, Lucas A., additional, Kelchtermans, Stijn, additional, Kelly, John M., additional, Klein, Richard A., additional, Kleinberg, Bennett, additional, Knowles, Megan L., additional, Kołczyńska, Marta, additional, Koller, Dave, additional, Krasko, Julia, additional, Kritzler, Sarah, additional, Krypotos, Angelos-Miltiadis, additional, Kyritsis, Thanos, additional, L. Landes, Todd, additional, Laukenmann, Ruben, additional, Forsyth, Guy A. Lavender, additional, Lazar, Aryeh, additional, Lehman, Barbara J., additional, Levy, Neil, additional, Lo, Ronda F., additional, Lodder, Paul, additional, Lorenz, Jennifer, additional, Łowicki, Paweł, additional, Ly, Albert L., additional, Maassen, Esther, additional, Magyar-Russell, Gina M., additional, Maier, Maximilian, additional, Marsh, Dylan R., additional, Martinez, Nuria, additional, Martinie, Marcellin, additional, Martoyo, Ihan, additional, Mason, Susan E., additional, Mauritsen, Anne Lundahl, additional, McAleer, Phil, additional, McCauley, Thomas, additional, McCullough, Michael, additional, McKay, Ryan, additional, McMahon, Camilla M., additional, McNamara, Amelia A., additional, Means, Kira K., additional, Mercier, Brett, additional, Mitkidis, Panagiotis, additional, Monin, Benoît, additional, Moon, Jordan W., additional, Moreau, David, additional, Morgan, Jonathan, additional, Murphy, James, additional, Muscatt, George, additional, Nägel, Christof, additional, Nagy, Tamás, additional, Nalborczyk, Ladislas, additional, Nilsonne, Gustav, additional, Noack, Pamina, additional, Norenzayan, Ara, additional, Nuijten, Michèle B., additional, Olsson-Collentine, Anton, additional, Oviedo, Lluis, additional, Pavlov, Yuri G., additional, Pawelski, James O., additional, Pearson, Hannah I., additional, Pedder, Hugo, additional, Peetz, Hannah K., additional, Pinus, Michael, additional, Pirutinsky, Steven, additional, Polito, Vince, additional, Porubanova, Michaela, additional, Poulin, Michael J., additional, Prenoveau, Jason M., additional, Prince, Mark A., additional, Protzko, John, additional, Pryor, Campbell, additional, Purzycki, Benjamin G., additional, Qiu, Lin, additional, Pütter, Julian Quevedo, additional, Rabelo, André, additional, Radell, Milen L., additional, Ramsay, Jonathan E., additional, Reid, Graham, additional, J. Roberts, Andrew, additional, Luna, Lindsey M. Root, additional, Ross, Robert M., additional, Roszak, Piotr, additional, Roy, Nirmal, additional, Saarelainen, Suvi-Maria K., additional, Sasaki, Joni Y., additional, Schaumans, Catherine, additional, Schivinski, Bruno, additional, Schmitt, Marcel C., additional, Schnitker, Sarah A., additional, Schnuerch, Martin, additional, Schreiner, Marcel R., additional, Schüttengruber, Victoria, additional, Sebben, Simone, additional, Segerstrom, Suzanne C., additional, Seryczyńska, Berenika, additional, Shjoedt, Uffe, additional, Simsek, Müge, additional, Sleegers, Willem W. A., additional, Smith, Eliot R., additional, Sowden, Walter J., additional, Späth, Marion, additional, Spörlein, Christoph, additional, Stedden, William, additional, Stoevenbelt, Andrea H., additional, Stuber, Simon, additional, Sulik, Justin, additional, Suwartono, Christiany, additional, Syropoulos, Stylianos, additional, Szaszi, Barnabas, additional, Szecsi, Peter, additional, Tappin, Ben M., additional, Tay, Louis, additional, Thibault, Robert T., additional, Thompson, Burt, additional, Thurn, Christian M., additional, Torralba, Josefa, additional, Tuthill, Shelby D., additional, Ullein, Ann-Marie, additional, Van Aert, Robbie C. M., additional, van Assen, Marcel A. L. M., additional, Van Cappellen, Patty, additional, van den Akker, Olmo R., additional, Van der Cruyssen, Ine, additional, Van der Noll, Jolanda, additional, van Dongen, Noah N. N., additional, Van Lissa, Caspar J., additional, van Mulukom, Valerie, additional, van Ravenzwaaij, Don, additional, van Zyl, Casper J. J., additional, Ann Vaughn, Leigh, additional, Većkalov, Bojana, additional, Verschuere, Bruno, additional, Vianello, Michelangelo, additional, Vilanova, Felipe, additional, Vishkin, Allon, additional, Vogel, Vera, additional, Vogelsmeier, Leonie V. D. E., additional, Watanabe, Shoko, additional, White, Cindel J. M., additional, Wiebels, Kristina, additional, Wiechert, Sera, additional, Willett, Zachary Z., additional, Witkowiak, Maciej, additional, Witvliet, Charlotte V. O., additional, Wiwad, Dylan, additional, Wuyts, Robin, additional, Xygalatas, Dimitris, additional, Yang, Xin, additional, Yeo, Darren J., additional, Yilmaz, Onurcan, additional, Zarzeczna, Natalia, additional, Zhao, Yitong, additional, Zijlmans, Josjan, additional, van Elk, Michiel, additional, and Wagenmakers, Eric-Jan, additional
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- 2022
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28. Awareness of and engagement with Open Research behaviours: Development of the Brief Open Research Survey (BORS) with the UK Reproducibility Network
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Rossit, Stephanie, Jones, Andrew, Evans, Samuel, Munafo, Marcus, Lautarescu, Alexandra, Schultze, Anna, Costello, Rianne, Pennington, Charlotte, Partridge, Adam, Kelson, Mark, Wilkinson, Laura, Burn, Charlotte, Rinke, Eike Mark, Soliman, Nadia, Norris, Emma, Cawthorn, Will, Wise, Emma, Pedder, Hugo, Glover, Scott, Page, Mike, Smailes, David, Baldwin, Jessie, Piccardi, Elena, Clark, Kait, Jay, Caroline, Ballou, Nick, Soltanlou, Mojtaba, and Hulme, Charlotte
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bepress|Physical Sciences and Mathematics ,bepress|Social and Behavioral Sciences|Other Social and Behavioral Sciences ,transparency ,MetaArXiv|Social and Behavioral Sciences|Sociology ,MetaArXiv|Social and Behavioral Sciences ,responsible research practices ,MetaArXiv|Social and Behavioral Sciences|Social Statistics ,bepress|Medicine and Health Sciences ,MetaArXiv|Medicine and Health Sciences ,MetaArXiv|Physical Sciences and Mathematics ,bepress|Social and Behavioral Sciences|Sociology ,MetaArXiv|Social and Behavioral Sciences|Other Social and Behavioral Sciences ,bepress|Social and Behavioral Sciences|Social Statistics ,bepress|Social and Behavioral Sciences ,UK Reproducibility Network ,meta research ,open research - Abstract
Objectives:A need for Open Research practices exists, yet there remains a lack of validated questionnaires to assess Open Research practices. The study aimed to develop a brief (
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- 2022
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29. A many-analysts approach to the relation between religiosity and well-being
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Hoogeveen, Suzanne, Sarafoglou, Alexandra, Aczel, Balazs, Aditya, Yonathan, Alayan, Alexandra J., Allen, Peter J., Altay, Sacha, Alzahawi, Shilaan, Amir, Yulmaida, Anthony, Francis-Vincent, Appiah, Obed Kwame, Atkinson, Quentin D., Baimel, Adam, Balkaya-Ince, Merve, Balsamo, Michela, Banker, Sachin, Bartos, Frantisek, Becerra, Mario, Beffara, Bertrand, Beitner, Julia, Bendixen, Theiss, Berkessel, Jana B., Berniunas, Renatas, Billet, Matthew, Billingsley, Joseph, Bortolini, Tiago, Breitsohl, Heiko, Bret, Amelie, Brown, Faith L., Brown, Jennifer, Brumbaugh, Claudia C., Buczny, Jacek, Bulbulia, Joseph, Caballero, Saul, Carlucci, Leonardo, Carmichael, Cheryl L., Cattaneo, Marco E. G., Charles, Sarah J., Claessens, Scott, Panagopoulos, Maxinne C., Costa, Angelo Brandelli, Crone, Damien L., Czoschke, Stefan, Czymara, Christian, D'Urso, E. Damiano, Dahlstrom, Orjan, Dalla Rosa, Anna, Danielsson, Henrik, De Ron, Jill, de Vries, Ymkje Anna, Dean, Kristy K., Dik, Bryan J., Disabato, David J., Doherty, Jaclyn K., Draws, Tim, Drouhot, Lucas, Dujmovic, Marin, Dunham, Yarrow, Ebert, Tobias, Edelsbrunner, Peter A., Eerland, Anita, Elbaek, Christian T., Farahmand, Shole, Farahmand, Hooman, Farias, Miguel, Feliccia, Abrey A., Fischer, Kyle, Fischer, Ronald, Fisher-Thompson, Donna, Francis, Zoe, Frick, Susanne, Frisch, Lisa K., Geraldes, Diogo, Gerdin, Emily, Geven, Linda, Ghasemi, Omid, Gielens, Erwin, Gligoric, Vukasin, Hagel, Kristin, Hajdu, Nandor, Hamilton, Hannah R., Hamzah, Imaduddin, Hanel, Paul H. P., Hawk, Christopher E., Himawan, Karel K., Holding, Benjamin C., Homman, Lina E., Ingendahl, Moritz, Inkila, Hilla, Inman, Mary L., Islam, Chris-Gabriel, Isler, Ozan, Izydorczyk, David, Jaeger, Bastian, Johnson, Kathryn A., Jong, Jonathan, Karl, Johannes A., Kaszubowski, Erikson, Katz, Benjamin A., Keefer, Lucas A., Kelchtermans, Stijn, Kelly, John M., Klein, Richard A., Kleinberg, Bennett, Knowles, Megan L., Kolczynska, Marta, Koller, Dave, Krasko, Julia, Kritzler, Sarah, Krypotos, Angelos-Miltiadis, Kyritsis, Thanos, Landes, Todd L., Laukenmann, Ruben, Forsyth, Guy A. Lavender, Lazar, Aryeh, Lehman, Barbara J., Levy, Neil, Lo, Ronda F., Lodder, Paul, Lorenz, Jennifer, Lowicki, Pawel, Ly, Albert L., Maassen, Esther, Magyar-Russell, Gina M., Maier, Maximilian, Marsh, Dylan R., Martinez, Nuria, Martinie, Marcellin, Martoyo, Ihan, Mason, Susan E., Mauritsen, Anne Lundahl, McAleer, Phil, McCauley, Thomas, McCullough, Michael, McKay, Ryan, McMahon, Camilla M., McNamara, Amelia A., Means, Kira K., Mercier, Brett, Mitkidis, Panagiotis, Monin, Benoit, Moon, Jordan W., Moreau, David, Morgan, Jonathan, Murphy, James, Muscatt, George, Nagel, Christof, Nagy, Tamas, Nalborczyk, Ladislas, Nilsonne, Gustav, Noack, Pamina, Norenzayan, Ara, Nuijten, Michele B., Olsson-Collentine, Anton, Oviedo, Lluis, Pavlov, Yuri G., Pawelski, James O., Pearson, Hannah, Pedder, Hugo, Peetz, Hannah K., Pinus, Michael, Pirutinsky, Steven, Polito, Vince, Porubanova, Michaela, Poulin, Michael J., Prenoveau, Jason M., Prince, Mark A., Protzko, John, Pryor, Campbell, Purzycki, Benjamin G., Qiu, Lin, Putter, Julian Quevedo, Rabelo, Andre, Radell, Milen L., Ramsay, Jonathan E., Reid, Graham, Roberts, Andrew J., Luna, Lindsey M. Root, Ross, Robert M., Roszak, Piotr, Roy, Nirmal, Saarelainen, Suvi-Maria K., Sasaki, Joni Y., Schaumans, Catherine, Schivinski, Bruno, Schmitt, Marcel C., Schnitker, Sarah A., Schnuerch, Martin, Schreiner, Marcel R., Schuttengruber, Victoria, Sebben, Simone, Segerstrom, Suzanne C., Seryczynska, Berenika, Shjoedt, Uffe, Simsek, Muge, Sleegers, Willem W. A., Smith, Eliot R., Sowden, Walter J., Spath, Marion, Sporlein, Christoph, Stedden, William, Stoevenbelt, Andrea H., Stuber, Simon, Sulik, Justin, Suwartono, Christiany, Syropoulos, Stylianos, Szaszi, Barnabas, Szecsi, Peter, Tappin, Ben M., Tay, Louis, Thibault, Robert T., Thompson, Burt, Thurn, Christian M., Torralba, Josefa, Tuthill, Shelby D., Ullein, Ann-Marie, Van Aert, Robbie C. M., van Assen, Marcel A. L. M., Van Cappellen, Patty, van den Akker, Olmo R., Van der Cruyssen, Ine, Van der Noll, Jolanda, van Dongen, Noah N. N., Van Lissa, Caspar J., van Mulukom, Valerie, van Ravenzwaaij, Don, van Zyl, Casper J. J., Vaughn, Leigh Ann, Verschuere, Bruno, Vianello, Michelangelo, Vilanova, Felipe, Vishkin, Allon, Vogel, Vera, Vogelsmeier, Leonie V. D. E., Watanabe, Shoko, White, Cindel J. M., Wiebels, Kristina, Wiechert, Sera, Willett, Zachary Z., Witkowiak, Maciej, Witvliet, Charlotte V. O., Wiwad, Dylan, Wuyts, Robin, Xygalatas, Dimitris, Yang, Xin, Yeo, Darren J., Yilmaz, Onurcan, Zarzeczna, Natalia, Zhao, Yitong, Zijlmans, Josjan, van Elk, Michiel, Wagenmakers, Eric-Jan, Hoogeveen, Suzanne, Sarafoglou, Alexandra, Aczel, Balazs, Aditya, Yonathan, Alayan, Alexandra J., Allen, Peter J., Altay, Sacha, Alzahawi, Shilaan, Amir, Yulmaida, Anthony, Francis-Vincent, Appiah, Obed Kwame, Atkinson, Quentin D., Baimel, Adam, Balkaya-Ince, Merve, Balsamo, Michela, Banker, Sachin, Bartos, Frantisek, Becerra, Mario, Beffara, Bertrand, Beitner, Julia, Bendixen, Theiss, Berkessel, Jana B., Berniunas, Renatas, Billet, Matthew, Billingsley, Joseph, Bortolini, Tiago, Breitsohl, Heiko, Bret, Amelie, Brown, Faith L., Brown, Jennifer, Brumbaugh, Claudia C., Buczny, Jacek, Bulbulia, Joseph, Caballero, Saul, Carlucci, Leonardo, Carmichael, Cheryl L., Cattaneo, Marco E. G., Charles, Sarah J., Claessens, Scott, Panagopoulos, Maxinne C., Costa, Angelo Brandelli, Crone, Damien L., Czoschke, Stefan, Czymara, Christian, D'Urso, E. Damiano, Dahlstrom, Orjan, Dalla Rosa, Anna, Danielsson, Henrik, De Ron, Jill, de Vries, Ymkje Anna, Dean, Kristy K., Dik, Bryan J., Disabato, David J., Doherty, Jaclyn K., Draws, Tim, Drouhot, Lucas, Dujmovic, Marin, Dunham, Yarrow, Ebert, Tobias, Edelsbrunner, Peter A., Eerland, Anita, Elbaek, Christian T., Farahmand, Shole, Farahmand, Hooman, Farias, Miguel, Feliccia, Abrey A., Fischer, Kyle, Fischer, Ronald, Fisher-Thompson, Donna, Francis, Zoe, Frick, Susanne, Frisch, Lisa K., Geraldes, Diogo, Gerdin, Emily, Geven, Linda, Ghasemi, Omid, Gielens, Erwin, Gligoric, Vukasin, Hagel, Kristin, Hajdu, Nandor, Hamilton, Hannah R., Hamzah, Imaduddin, Hanel, Paul H. P., Hawk, Christopher E., Himawan, Karel K., Holding, Benjamin C., Homman, Lina E., Ingendahl, Moritz, Inkila, Hilla, Inman, Mary L., Islam, Chris-Gabriel, Isler, Ozan, Izydorczyk, David, Jaeger, Bastian, Johnson, Kathryn A., Jong, Jonathan, Karl, Johannes A., Kaszubowski, Erikson, Katz, Benjamin A., Keefer, Lucas A., Kelchtermans, Stijn, Kelly, John M., Klein, Richard A., Kleinberg, Bennett, Knowles, Megan L., Kolczynska, Marta, Koller, Dave, Krasko, Julia, Kritzler, Sarah, Krypotos, Angelos-Miltiadis, Kyritsis, Thanos, Landes, Todd L., Laukenmann, Ruben, Forsyth, Guy A. Lavender, Lazar, Aryeh, Lehman, Barbara J., Levy, Neil, Lo, Ronda F., Lodder, Paul, Lorenz, Jennifer, Lowicki, Pawel, Ly, Albert L., Maassen, Esther, Magyar-Russell, Gina M., Maier, Maximilian, Marsh, Dylan R., Martinez, Nuria, Martinie, Marcellin, Martoyo, Ihan, Mason, Susan E., Mauritsen, Anne Lundahl, McAleer, Phil, McCauley, Thomas, McCullough, Michael, McKay, Ryan, McMahon, Camilla M., McNamara, Amelia A., Means, Kira K., Mercier, Brett, Mitkidis, Panagiotis, Monin, Benoit, Moon, Jordan W., Moreau, David, Morgan, Jonathan, Murphy, James, Muscatt, George, Nagel, Christof, Nagy, Tamas, Nalborczyk, Ladislas, Nilsonne, Gustav, Noack, Pamina, Norenzayan, Ara, Nuijten, Michele B., Olsson-Collentine, Anton, Oviedo, Lluis, Pavlov, Yuri G., Pawelski, James O., Pearson, Hannah, Pedder, Hugo, Peetz, Hannah K., Pinus, Michael, Pirutinsky, Steven, Polito, Vince, Porubanova, Michaela, Poulin, Michael J., Prenoveau, Jason M., Prince, Mark A., Protzko, John, Pryor, Campbell, Purzycki, Benjamin G., Qiu, Lin, Putter, Julian Quevedo, Rabelo, Andre, Radell, Milen L., Ramsay, Jonathan E., Reid, Graham, Roberts, Andrew J., Luna, Lindsey M. Root, Ross, Robert M., Roszak, Piotr, Roy, Nirmal, Saarelainen, Suvi-Maria K., Sasaki, Joni Y., Schaumans, Catherine, Schivinski, Bruno, Schmitt, Marcel C., Schnitker, Sarah A., Schnuerch, Martin, Schreiner, Marcel R., Schuttengruber, Victoria, Sebben, Simone, Segerstrom, Suzanne C., Seryczynska, Berenika, Shjoedt, Uffe, Simsek, Muge, Sleegers, Willem W. A., Smith, Eliot R., Sowden, Walter J., Spath, Marion, Sporlein, Christoph, Stedden, William, Stoevenbelt, Andrea H., Stuber, Simon, Sulik, Justin, Suwartono, Christiany, Syropoulos, Stylianos, Szaszi, Barnabas, Szecsi, Peter, Tappin, Ben M., Tay, Louis, Thibault, Robert T., Thompson, Burt, Thurn, Christian M., Torralba, Josefa, Tuthill, Shelby D., Ullein, Ann-Marie, Van Aert, Robbie C. M., van Assen, Marcel A. L. M., Van Cappellen, Patty, van den Akker, Olmo R., Van der Cruyssen, Ine, Van der Noll, Jolanda, van Dongen, Noah N. N., Van Lissa, Caspar J., van Mulukom, Valerie, van Ravenzwaaij, Don, van Zyl, Casper J. J., Vaughn, Leigh Ann, Verschuere, Bruno, Vianello, Michelangelo, Vilanova, Felipe, Vishkin, Allon, Vogel, Vera, Vogelsmeier, Leonie V. D. E., Watanabe, Shoko, White, Cindel J. M., Wiebels, Kristina, Wiechert, Sera, Willett, Zachary Z., Witkowiak, Maciej, Witvliet, Charlotte V. O., Wiwad, Dylan, Wuyts, Robin, Xygalatas, Dimitris, Yang, Xin, Yeo, Darren J., Yilmaz, Onurcan, Zarzeczna, Natalia, Zhao, Yitong, Zijlmans, Josjan, van Elk, Michiel, and Wagenmakers, Eric-Jan
- Abstract
The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported beta = 0.120). For the second research question, this was the case for 65% of the teams (median reported beta = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates.
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- 2022
30. Participant retention in paediatric randomised controlled trials published in six major journals 2015–2019: systematic review and meta-analysis.
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Gaunt, Daisy M., Papastavrou Brooks, Cat, Pedder, Hugo, Crawley, Esther, Horwood, Jeremy, and Metcalfe, Chris
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RANDOMIZED controlled trials ,YOUNG adults ,SEQUENTIAL analysis ,PEDIATRICS - Abstract
Background: The factors which influence participant retention in paediatric randomised controlled trials are under-researched. Retention may be more challenging due to child developmental stages, involving additional participants, and proxy-reporting of outcomes. This systematic review and meta-analysis explores the factors which may influence retention in paediatric trials. Methods: Using the MEDLINE database, paediatric randomised controlled trials published between 2015 and 2019 were identified from six general and specialist high-impact factor medical journals. The review outcome was participant retention for each reviewed trial's primary outcome. Context (e.g. population, disease) and design (e.g. length of trial) factors were extracted. Retention was examined for each context and design factor in turn, with evidence for an association being determined by a univariate random-effects meta-regression analysis. Results: Ninety-four trials were included, and the median total retention was 0.92 (inter-quartile range 0.83 to 0.98). Higher estimates of retention were seen for trials with five or more follow-up assessments before the primary outcome, those less than 6 months between randomisation and primary outcome, and those that used an inactive data collection method. Trials involving children aged 11 and over had the higher estimated retention compared with those involving younger children. Those trials which did not involve other participants also had higher retention, than those where they were involved. There was also evidence that a trial which used an active or placebo control treatment had higher estimated retention, than treatment-as-usual. Retention increased if at least one engagement method was used. Unlike reviews of trials including all ages of participants, we did not find any association between retention and the number of treatment groups, size of trial, or type of treatment. Conclusions: Published paediatric RCTs rarely report the use of specific modifiable factors that improve retention. Including multiple, regular follow-ups with participants before the primary outcome may reduce attrition. Retention may be highest when the primary outcome is collected up to 6 months after a participant is recruited. Our findings suggest that qualitative research into improving retention when trials involve multiple participants such as young people, and their caregivers or teachers would be worthwhile. Those designing paediatric trials also need to consider the use of appropriate engagement methods. Research on Research (RoR) registry: https://ror-hub.org/study/2561 [ABSTRACT FROM AUTHOR]
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- 2023
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31. Awareness of and engagement with Open Research behaviours: Development of the Brief Open Research Survey (BORS) with the UK Reproducibility Network
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Norris, Emma, primary, Clark, Kait, additional, Munafo, Marcus Robert, additional, Jay, Caroline, additional, Baldwin, Jessie, additional, Lautarescu, Alexandra, additional, Pedder, Hugo, additional, Page, Mike, additional, Rinke, Eike Mark, additional, Burn, Charlotte, additional, Cawthorn, Will, additional, Ballou, Nick, additional, Glover, Scott, additional, Evans, Samuel, additional, Rossit, Stephanie, additional, Soltanlou, Mojtaba, additional, Wise, Emma Louise, additional, Kelson, Mark, additional, Soliman, Nadia, additional, Jones, Andrew, additional, Costello, Rianne, additional, Smailes, David, additional, Wilkinson, Laura L., additional, Piccardi, Elena Serena, additional, Partridge, Adam Michael, additional, Hulme, Charlotte, additional, Schultze, Anna, additional, and Pennington, Charlotte Rebecca, additional
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- 2022
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32. The association between apparent temperature and cardiovascular mortality in Puducherry, India: an exploratory study between 2010 and 2020
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Shrikhande, Shreya S, primary, Pedder, Hugo, additional, Röösli, Martin, additional, Dalvie, Mohammad Aqiel, additional, Lakshmanasamy, Ravivarman, additional, Gasparrini, Antonio, additional, Utzinger, Jürg, additional, and Cissé, Guéladio, additional
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- 2022
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- View/download PDF
33. Silence is golden, by my measures still see: why cheap-but-noisy outcome measures can be more cost effective than gold standards
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Woolf, Benjamin, primary, Pedder, Hugo, additional, Rodriguez-Broadbent, Henry, additional, and Edwards, Phil, additional
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- 2022
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34. Methods to Assess Evidence Consistency in Dose-Response Model Based Network Meta-Analysis
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Pedder, Hugo, Dias, Sofia, Boucher, Martin, Bennetts, Meg, Mawdsley, David, and Welton, N J
- Subjects
meta-analysis ,consistency ,synthesis ,dose ,HEB ,NMA - Abstract
Network Meta-Analysis (NMA) simultaneously estimates multiple relative treatment effects based on evidence that forms a network of treatment comparisons. Heterogeneity in treatment definitions, such as dose, can lead to a violation of the consistency assumption that underpins NMA. Model-Based NMA (MBNMA) methods have been proposed that allow functional dose-response relationships to be estimated within an NMA, which avoids lumping different doses together and thereby reduces the likelihood of inconsistency. Dose-response MBNMA relies on appropriate specification of the dose-response relationship as well as consistency of relative effects. In this paper we describe methods to check for inconsistency in dose-response MBNMA models. Global and local (node-splitting) tests for inconsistency are described that account for studies with ≥3 arms that are typical in dose-finding trials. We show that consistency needs to be assessed with respect to the choice of dose-response function. We illustrate the methods using a network comparing biologics for moderate-to-severe psoriasis. By comparing results from an Emax and an exponential dose-response function we show that failure to correctly characterise the dose-response can introduce apparent inconsistency. The number of comparisons for which node-splitting is possible is also shown to be dependent on the complexity of the selected dose-response function. We highlight that the nature of dose-finding studies, which typically compare multiple doses of the same agent, provide limited scope to assess inconsistency, but these study designs help guard against inconsistency in the first place. We highlight the importance of assessing consistency to obtain robust relative effects to inform drug-development and policy decisions.
- Published
- 2022
35. Excess significance and power miscalculations in neurofeedback research
- Author
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Thibault, Robert T. and Pedder, Hugo
- Published
- 2022
- Full Text
- View/download PDF
36. The Association between Apparent Temperature and Hospital Admissions for Cardiovascular Disease in Limpopo Province, South Africa.
- Author
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Bühler, Jacqueline Lisa, Shrikhande, Shreya, Kapwata, Thandi, Cissé, Guéladio, Liang, Yajun, Pedder, Hugo, Kwiatkowski, Marek, Kunene, Zamantimande, Mathee, Angela, Peer, Nasheeta, and Wright, Caradee Y.
- Published
- 2023
- Full Text
- View/download PDF
37. Methods to assess evidence consistency in dose‐response model based network meta‐analysis
- Author
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Pedder, Hugo, primary, Dias, Sofia, additional, Boucher, Martin, additional, Bennetts, Meg, additional, Mawdsley, David, additional, and Welton, Nicky J., additional
- Published
- 2021
- Full Text
- View/download PDF
38. Response to "Comment on 'The importance of context (placebo effects) in conservative interventions for musculoskeletal pain: A systematic review and meta‐analysis of randomized controlled trials' by Saueressig et al.".
- Author
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Saueressig, Tobias, Owen, Patrick J., Pedder, Hugo, Tagliaferri, Scott, Kaczorowski, Svenja, Miller, Clint T., Donath, Lars, and Belavy, Daniel L.
- Published
- 2024
- Full Text
- View/download PDF
39. Methods to assess evidence consistency in dose-response model based network meta-analysis.
- Author
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Pedder H, Dias S, Boucher M, Bennetts M, Mawdsley D, and Welton NJ
- Subjects
- Humans, Network Meta-Analysis
- Abstract
Network meta-analysis (NMA) simultaneously estimates multiple relative treatment effects based on evidence that forms a network of treatment comparisons. Heterogeneity in treatment definitions, such as dose, can lead to a violation of the consistency assumption that underpins NMA. Model-based NMA (MBNMA) methods have been proposed that allow functional dose-response relationships to be estimated within an NMA, which avoids lumping different doses together and thereby reduces the likelihood of inconsistency. Dose-response MBNMA relies on appropriate specification of the dose-response relationship as well as consistency of relative effects. In this article we describe methods to check for inconsistency in dose-response MBNMA models. Global and local (node-splitting) tests for inconsistency are described that account for studies with ≥3 arms that are typical in dose-finding trials. We show that consistency needs to be assessed with respect to the choice of dose-response function. We illustrate the methods using a network comparing biologics for moderate-to-severe psoriasis. By comparing results from an Emax and an exponential dose-response function we show that failure to correctly characterise the dose-response can introduce apparent inconsistency. The number of comparisons for which node-splitting is possible is also shown to be dependent on the complexity of the selected dose-response function. We highlight that the nature of dose-finding studies, which typically compare multiple doses of the same agent, provide limited scope to assess inconsistency, but these study designs help guard against inconsistency in the first place. We demonstrate the importance of assessing consistency to obtain robust relative effects to inform drug-development and policy decisions., (© 2021 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.)
- Published
- 2022
- Full Text
- View/download PDF
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