1,465 results on '"Scott, James G"'
Search Results
252. Estimating demand for mental health care among Australian children and adolescents: Findings from the Young Minds Matter survey.
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Pagliaro, Claudia, Pearl, Madeleine, Lawrence, David, Scott, James G, and Diminic, Sandra
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CONFIDENCE intervals ,SURVEYS ,CHILD psychopathology ,SOCIODEMOGRAPHIC factors ,MENTAL health services ,MEDICAL needs assessment ,DISEASE remission ,HEALTH planning - Abstract
Objective: Mental health service use by individuals without a diagnosed mental disorder is sometimes termed 'met un-need'. However, provision of services for this group may be necessary to provide appropriate assessment, referral and early intervention. This study quantified child and adolescent use of, and perceived need for, mental health services to inform population-level service planning. Methods: Young people in Australia's Young Minds Matter survey (n = 5837, 5–17 years), were categorised into four 'need' groups: (1) 12-month mental disorder diagnosis; (2) remitted for more than 12 months (or experiencing a condition not surveyed); (3) 12-month subthreshold mental health problem; and (4) no indication of need for help (i.e. did not meet the requirements of the first three categories). Service demand (use of, or perceived need for, a mental health service) and number of sessions received were estimated for each, separately for children (5–11 years) and adolescents (12–17 years). Results: Some 20.1% (95% CI: [18.6, 21.7]) of children and 32.3% (95% CI: [30.5, 34.2]) of adolescents expressed a demand for mental health services in the past year. Service demand decreased across the need groups. Perceived need without service use was higher among those with a 12-month subthreshold mental health problem (13.8/20.2%) than those who had experienced a mental health problem that had remitted for more than 12 months (or were experiencing a condition not surveyed) (9.3/12.6%). In addition, 23.6% of children and 24.6% of adolescents with a demand for mental health services were classified as experiencing no indication of need for help. Conclusions: This study quantified the number of children and adolescents in Australia who are likely to require mental health services. Findings suggest that not everyone in this group who has an expressed service demand meets diagnostic thresholds, but among those who do, service demand is higher. [ABSTRACT FROM AUTHOR]
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- 2022
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253. Key service components for age‐appropriate mental health service planning for young adults.
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Gossip, Kate, John, Julie, Comben, Charlotte, Page, Imogen, Erskine, Holly E., Scott, James G., and Diminic, Sandra
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MENTAL health services ,YOUNG adults ,HEALTH planning ,PSYCHOTHERAPY ,YOUTH health ,YOUTH development ,NURSE liaisons - Abstract
Aim: To identify and describe key service components that should be incorporated into age‐appropriate integrated mental health care for young adults aged 18–24 years. Methods: Key service components were identified through a mixed‐methods approach including targeted examinations of the literature and structured discussions with experts in youth mental health. Results: Seven key components were identified as important for providing age‐appropriate mental health care to young adults. Two were classified as clinical service components (structured psychological therapies; care coordination and liaison), three were classified as non‐clinical service components (vocational support; youth development; peer support) and two as integrated non‐clinical and clinical service components (lifestyle interventions and family and network support). Example service models for each of these key service components were identified and described. Conclusions: This is the first study to identify and describe key service components for age‐appropriate mental health care for young adults. The findings provide mental health service planners with a framework of services that should be considered when planning and resourcing services for this age range. [ABSTRACT FROM AUTHOR]
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- 2022
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254. The influence of hours worked prior to delivery on maternal and neonatal outcomes: a retrospective cohort study
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Aiken, Catherine E., Aiken, Abigail R., Scott, James G., and Brockelsby, Jeremy C.
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- 2016
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255. Adjunctive Garcinia mangostana Linn. (Mangosteen) Pericarp for Schizophrenia:A 24-Week Double-blind, Randomized, Placebo Controlled Efficacy Trial
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Turner, Alyna, Baker, Andrea, Dean, Olivia M, Walker, Adam J, Dodd, Seetal, Cotton, Susan M, Scott, James G, Kavanagh, Bianca E, Ashton, Melanie M, Brown, Ellie, McGrath, John J, and Berk, Michael
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schizophrenia ,mangosteen ,treatment ,Garcinia mangostana Linn ,inflammation ,oxidative stress ,clinical trial ,schizoaffective disorder ,psychiatry ,mental disorders - Abstract
OBJECTIVES: Garcinia mangostana Linn. ("mangosteen") pericarp contains bioactive compounds that may target biological pathways implicated in schizophrenia. We conducted a double-blind randomized placebo-controlled trial evaluating the efficacy of adjunctive mangosteen pericarp, compared to placebo, in the treatment of schizophrenia.METHODS: People diagnosed with schizophrenia or schizoaffective disorder (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition), recruited across 2 sites (Brisbane and Victoria, Australia), were randomized to receive 24 weeks of adjunctive mangosteen pericarp (1,000 mg/day) or matched placebo. The primary outcome measure was the Positive and Negative Symptom Scale total score. Secondary outcomes included positive and negative symptoms, general psychopathology, clinical global severity and improvement, participant reported overall improvement, depressive symptoms, functioning, quality of life, and safety data at 24 and 28 weeks (4 weeks postdiscontinuation). Data were collected from July 2016 to February 2019.RESULTS: Baseline assessments were conducted on 148 people (mangosteen = 74, placebo = 74); data analyses were conducted on 136 (92%) participants with postbaseline data. The treatment group had significantly higher symptom severity compared to placebo, and both groups significantly improved on all symptom, functioning, and quality of life measures over time. No between-group differences were found for the rate of change between baseline and 24 or 28 weeks.CONCLUSION: Despite promising preclinical and clinical work, our results do not support mangosteen pericarp extract as an adjunctive treatment for schizophrenia or schizoaffective disorder.
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- 2021
256. Association of Maternal Depressive Symptoms During the Perinatal Period With Oppositional Defiant Disorder in Children and Adolescents
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Dachew, Berihun Assefa, primary, Scott, James G., additional, Heron, Jon E., additional, Ayano, Getinet, additional, and Alati, Rosa, additional
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- 2021
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257. Impairments in goal-directed action and reversal learning in a proportion of individuals with psychosis: evidence for differential phenotypes in early and persistent psychosis
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Suetani, Shuichi, primary, Baker, Andrea, additional, Garner, Kelly, additional, Cosgrove, Peter, additional, Mackay-Sim, Matilda, additional, Siskind, Dan, additional, Murray, Graham K, additional, Scott, James G, additional, and Kesby, James P, additional
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- 2021
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258. Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation
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Starling, Jennifer E., primary, Murray, Jared S., additional, Lohr, Patricia A., additional, Aiken, Abigail R. A., additional, Carvalho, Carlos M., additional, and Scott, James G., additional
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- 2021
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259. Economic Evaluation of an Intervention Designed to Reduce Bullying in Australian Schools
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Jadambaa, Amarzaya, primary, Graves, Nicholas, additional, Cross, Donna, additional, Pacella, Rosana, additional, Thomas, Hannah J., additional, Scott, James G., additional, Cheng, Qinglu, additional, and Brain, David, additional
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- 2021
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260. The association between birth by caesarean section at term and offspring cognitive and academic performance: A birth cohort study
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Blake, Julie A., primary, Pelecanos, Anita, additional, Najman, Jake M., additional, Callaway, Leonie, additional, and Scott, James G., additional
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- 2021
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261. Adolescent cannabis use, depression and anxiety disorders in the Northern Finland Birth Cohort 1986
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Mustonen, Antti, primary, Hielscher, Emily, additional, Miettunen, Jouko, additional, Denissoff, Alexander, additional, Alakokkare, Anni-Emilia, additional, Scott, James G., additional, and Niemelä, Solja, additional
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- 2021
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262. Predicting Language Difficulties in Middle Childhood From Early Developmental Milestones: A Comparison of Traditional Regression and Machine Learning Techniques
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Armstrong, Rebecca, Symons, Martyn, Scott, James G., Arnott, Wendy L., Copland, David A., McMahon, Katie L., and Whitehouse, Andrew J.O.
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Algorithms -- Usage ,Language disorders ,Machine learning -- Methods ,Algorithm ,Health - Abstract
Purpose: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) broader developmental skills (motor, social, and adaptive) at 3 years old on language outcomes at 10 years old. Method: Participants (N = 1,322) were drawn from the Western Australian Pregnancy Cohort (Raine) Study (Straker et al., 2017). A general developmental screener, the Infant Monitoring Questionnaire (Squires, Bricker, & Potter, 1990), was completed by caregivers at the 3-year follow-up. Language ability at 10 years old was assessed using the Clinical Evaluation of Language Fundamentals-Third Edition (Semel, Wiig, & Secord, 1995). Logistic regression models and interpretable machine learning algorithms were used to assess predictive abilities of early developmental milestones for later language outcomes. Results: Overall, the findings showed that prediction accuracies were comparable between logistic regression and machine learning models using communication-only performance as well as performance on communication and broader developmental domains to predict language performance at 10 years old. Decision trees are incorporated to visually present these findings but must be interpreted with caution because of the poor accuracy of the models overall. Conclusions: The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods. Furthermore, the inclusion of broader developmental skills did not improve predictive capability. Assessment of language at more than 1 time point is necessary to ensure children whose language delays emerge later are identified and supported. Supplemental Material: https://doi.org/10.23641/asha.6879719, Developmental language disorders (DLDs) are characterized by language difficulties not associated with a known biomedical etiology (Bishop, Snowling, Thompson, Greenhalgh, & CATALISE Consortium, 2016) and are estimated to affect approximately [...]
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- 2018
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263. Depression and cognitive impairment following recovery from thrombotic thrombocytopenic purpura
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Han, Bowie, Page, Evaren E., Stewart, Lauren M., Deford, Cassandra C., Scott, James G., Schwartz, Lauren H., Perdue, Jedidiah J., Terrell, Deirdra R., Vesely, Sara K., and George, James N.
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- 2015
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264. sj-docx-1-anp-10.1177_00048674211009620 – Supplemental material for Monitoring of metabolic side-effects in children and adolescents prescribed antipsychotic medication: A systematic review
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Mead, Laura, Ayres, Alice, Blake, Julie A, and Scott, James G
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FOS: Psychology ,FOS: Clinical medicine ,170199 Psychology not elsewhere classified ,110319 Psychiatry (incl. Psychotherapy) ,Neuroscience - Abstract
Supplemental material, sj-docx-1-anp-10.1177_00048674211009620 for Monitoring of metabolic side-effects in children and adolescents prescribed antipsychotic medication: A systematic review by Laura Mead, Alice Ayres, Julie A Blake and James G Scott in Australian & New Zealand Journal of Psychiatry
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- 2021
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265. sj-docx-1-tpp-10.1177_20451253211045248 ��� Supplemental material for CoMET: a randomised controlled trial of co-commencement of metformin versus placebo as an adjunctive treatment to attenuate weight gain in patients with schizophrenia newly commenced on clozapine
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Siskind, Dan, Russell, Anthony W., Suetani, Shuichi, Flaws, Dylan, Kisely, Steve, Moudgil, Vikas, Northwood, Korinne, Robinson, Gail, Scott, James G., Stedman, Terry, Warren, Nicola, Winckel, Karl, Cosgrove, Peter, and Baker, Andrea
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FOS: Clinical medicine ,111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified - Abstract
Supplemental material, sj-docx-1-tpp-10.1177_20451253211045248 for CoMET: a randomised controlled trial of co-commencement of metformin versus placebo as an adjunctive treatment to attenuate weight gain in patients with schizophrenia newly commenced on clozapine by Dan Siskind, Anthony W. Russell, Shuichi Suetani, Dylan Flaws, Steve Kisely, Vikas Moudgil, Korinne Northwood, Gail Robinson, James G. Scott, Terry Stedman, Nicola Warren, Karl Winckel, Peter Cosgrove and Andrea Baker in Therapeutic Advances in Psychopharmacology
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- 2021
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266. Additional file 1 of Does the millennial generation of women experience more mental illness than their mothers?
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Najman, Jake M., Bor, William, Williams, Gail M., Middeldorp, Christel M., Mamun, Abdullah A., Clavarino, Alexandra M., and Scott, James G.
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surgical procedures, operative ,mental disorders ,digestive system ,behavioral disciplines and activities ,digestive system diseases - Abstract
Additional file 1: Appendix A. CIDI (DSM-IV) Diagnoses for Mothers. Appendix B. Comparison of CIDI Diagnoses (Lifetime Ever) for Mothers (First Pregnancy) and their Daughters (only Mothers of Daughters included). Appendix C. Comparing Daughters and Mothers, Age of Onset of Selected DSM-IV Disorders (Mean & 95% CI).
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- 2021
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267. Psychosocial and lifestyle predictors of distress and well-being in people with mental illness during the COVID-19 pandemic
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Chapman, Justin J, primary, Malacova, Eva, additional, Patterson, Sue, additional, Reavley, Nicola, additional, Wyder, Marianne, additional, Brown, Wendy J, additional, Hielscher, Emily, additional, Childs, Sarah, additional, and Scott, James G, additional
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- 2021
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268. Monitoring of metabolic side-effects in children and adolescents prescribed antipsychotic medication: A systematic review
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Mead, Laura, primary, Ayres, Alice, additional, Blake, Julie A, additional, and Scott, James G, additional
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- 2021
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269. Concordance between adolescents and parents on the Strengths and Difficulties Questionnaire: Analysis of an Australian nationally representative sample
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Gray, Emma J, primary, Scott, James G, additional, Lawrence, David M, additional, and Thomas, Hannah J, additional
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- 2021
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270. Climate Change and Mental Health: A Scoping Review
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Charlson, Fiona, primary, Ali, Suhailah, additional, Benmarhnia, Tarik, additional, Pearl, Madeleine, additional, Massazza, Alessandro, additional, Augustinavicius, Jura, additional, and Scott, James G., additional
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- 2021
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271. The global burden of conduct disorder and attention-deficit/hyperactivity disorder in 2010
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Erskine, Holly E., Ferrari, Alize J., Polanczyk, Guilherme V., Moffitt, Terrie E., Murray, Christopher J. L., Vos, Theo, Whiteford, Harvey A., and Scott, James G.
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- 2014
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272. Factors Influencing the Likelihood of Instrumental Delivery Success
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Aiken, Catherine E., Aiken, Abigail R., Brockelsby, Jeremy C., and Scott, James G.
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- 2014
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273. Quality prescribing in early psychosis: key pharmacotherapy principles.
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Scott, James G, McKeon, Gemma, Malacova, Eva, Curtis, Jackie, Burgher, Bjorn, Macmillan, Iain, Thompson, Andrew, and Parker, Stephen D
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PSYCHOSES , *DRUG therapy , *AFFECTIVE disorders , *PSYCHOEDUCATION , *CLOZAPINE - Abstract
Objective: To present a practical, easy-to-implement clinical framework designed to support evidence-based quality prescribing for people with early psychosis. Method: Identification and explanation of key principles relating to evidence-based pharmacotherapy for people with early psychosis. These were derived from the literature, practice guidelines and clinical experience. Results: Key principles include (1) medication choice informed by adverse effects; (2) metabolic monitoring at baseline and at regular intervals; (3) comprehensive and regular medication risk–benefit assessment and psychoeducation; (4) early consideration of long-acting injectable formulations (preferably driven by informed patient choice); (5) identification and treatment of comorbid mood disorders and (6) early consideration of clozapine when treatment refractory criteria are met. Conclusions: Current prescribing practices do not align with the well-established evidence for quality pharmacotherapy in early psychosis. Adopting evidence-based prescribing practices for people with early psychosis will improve outcomes. [ABSTRACT FROM AUTHOR]
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- 2022
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274. Cannabidiol for at risk for psychosis youth: A randomized controlled trial.
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Amminger, G. Paul, Lin, Ashleigh, Kerr, Melissa, Weller, Amber, Spark, Jessica, Pugh, Charlotte, O'Callaghan, Sally, Berger, Maximus, Clark, Scott R., Scott, James G., Baker, Andrea, McGregor, Iain, Cotter, David, Sarnyai, Zoltan, Thompson, Andrew, Yung, Alison R., O'Donoghue, Brian, Killackey, Eoin, Mihalopoulos, Cathy, and Yuen, Hok Pan
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PSYCHOSES risk factors ,RANDOMIZED controlled trials ,CANNABIDIOL ,PSYCHOSES ,DRUG therapy - Abstract
Background: No biological treatment has been firmly established for the at‐risk stage of psychotic disorder. In this study we aim to test if subthreshold psychotic symptoms can be effectively treated with cannabidiol (CBD), a non‐psychoactive compound of the plant Cannabis sativa. The question has taken on increased importance in the wake of evidence questioning both the need and efficacy of specific pharmacological interventions in the ultra‐high risk (UHR) for psychosis group. Methods: Three‐arm randomized controlled trial of 405 patients (135 per arm) aged 12–25 years who meet UHR for psychosis criteria. The study includes a 6‐week lead‐in phase during which 10% of UHR individuals are expected to experience symptom remission. Participants will receive CBD (per oral) at doses 600 or 1000 mg per day (fixed schedule) for 12 weeks. Participants in the third arm of the trial will receive matching placebo capsules. Primary outcome is severity of positive psychotic symptoms as measured by the Comprehensive Assessment of At‐Risk Mental States at 12 weeks. We hypothesize that CBD will be significantly more effective than placebo in improving positive psychotic symptoms in UHR patients. All participants will also be followed up 6 months post baseline to evaluate if treatment effects are sustained. Conclusion: This paper reports on the rationale and protocol of the Cannabidiol for At Risk for psychosis Youth (CanARY) study. This study will test CBD for the first time in the UHR phase of psychotic disorder. [ABSTRACT FROM AUTHOR]
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- 2022
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275. The association between birth by caesarean section at term and offspring cognitive and academic performance: A birth cohort study.
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Blake, Julie A., Pelecanos, Anita, Najman, Jake M., Callaway, Leonie, and Scott, James G.
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ACADEMIC achievement evaluation ,KRUSKAL-Wallis Test ,CONFIDENCE intervals ,DURATION of pregnancy ,MULTIVARIATE analysis ,MULTIPLE regression analysis ,FISHER exact test ,VAGINA ,NEUROPSYCHOLOGICAL tests ,DESCRIPTIVE statistics ,CHI-squared test ,COGNITIVE testing ,CESAREAN section ,DELIVERY (Obstetrics) ,ODDS ratio ,SECONDARY analysis ,CHILDREN ,ADULTS - Abstract
Background: Caesarean section (CS) is associated with an increased risk of adverse health outcomes for both mothers and offspring. The evidence for an association between CS and reduced offspring cognitive and academic performance has been inconsistent, with considerable limitations. Aim: The aim of this study is to compare cognitive and academic performance in childhood and early adulthood in offspring delivered by CS with those delivered vaginally at term. Materials and methods: Data on 4327 mothers and offspring from a longitudinal birth cohort study were analysed. Offspring cognitive performance was measured by the Picture Peabody Vocabulary Test‐Revised (PPVT‐R) at ages five and 21 and the Raven's Standard Progressive Matrices at age 14. Academic achievement was assessed using the Wide Range Achievement Test at age 14. Results: After adjustment for confounding factors, there was no statistically significant association between cognitive performance and offspring birth mode at age five (P = 0.11). The adjusted difference of mean scores at five years on the PPVT‐R for elective CS birth compared to those born by vaginal delivery was −2.2 (95% confidence interval (CI) −4.3 to −0.2), whereas for emergency CS it was 0.0 (95% CI −2.0 to 2.0). There were no differences in cognitive or academic performance at ages 14 and 21. Conclusion: Birth mode was not significantly associated with offspring cognitive or academic performance. Our study does not support concerns that CS is associated with a reduction in cognitive performance. [ABSTRACT FROM AUTHOR]
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- 2022
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276. Predicting Child Maltreatment over the Early Life Course: A Prospective Study
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Najman, Jake M., primary, Scott, James G., additional, Williams, Gail M., additional, Clavarino, Alexandra M., additional, Kisely, Steve, additional, and McGee, Tara R., additional
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- 2021
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277. Correlates of Help-Seeking Behaviour in Adolescents Who Experience Bullying Victimisation
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Matuschka, Lori K., primary, Scott, James G., additional, Campbell, Marilyn A., additional, Lawrence, David, additional, Zubrick, Stephen R., additional, Bartlett, Jennifer, additional, and Thomas, Hannah J., additional
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- 2021
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278. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
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Cramer, Estee Y, primary, Ray, Evan L, additional, Lopez, Velma K, additional, Bracher, Johannes, additional, Brennen, Andrea, additional, Castro Rivadeneira, Alvaro J, additional, Gerding, Aaron, additional, Gneiting, Tilmann, additional, House, Katie H, additional, Huang, Yuxin, additional, Jayawardena, Dasuni, additional, Kanji, Abdul H, additional, Khandelwal, Ayush, additional, Le, Khoa, additional, Mühlemann, Anja, additional, Niemi, Jarad, additional, Shah, Apurv, additional, Stark, Ariane, additional, Wang, Yijin, additional, Wattanachit, Nutcha, additional, Zorn, Martha W, additional, Gu, Youyang, additional, Jain, Sansiddh, additional, Bannur, Nayana, additional, Deva, Ayush, additional, Kulkarni, Mihir, additional, Merugu, Srujana, additional, Raval, Alpan, additional, Shingi, Siddhant, additional, Tiwari, Avtansh, additional, White, Jerome, additional, Abernethy, Neil F, additional, Woody, Spencer, additional, Dahan, Maytal, additional, Fox, Spencer, additional, Gaither, Kelly, additional, Lachmann, Michael, additional, Meyers, Lauren Ancel, additional, Scott, James G, additional, Tec, Mauricio, additional, Srivastava, Ajitesh, additional, George, Glover E, additional, Cegan, Jeffrey C, additional, Dettwiller, Ian D, additional, England, William P, additional, Farthing, Matthew W, additional, Hunter, Robert H, additional, Lafferty, Brandon, additional, Linkov, Igor, additional, Mayo, Michael L, additional, Parno, Matthew D, additional, Rowland, Michael A, additional, Trump, Benjamin D, additional, Zhang-James, Yanli, additional, Chen, Samuel, additional, Faraone, Stephen V, additional, Hess, Jonathan, additional, Morley, Christopher P, additional, Salekin, Asif, additional, Wang, Dongliang, additional, Corsetti, Sabrina M, additional, Baer, Thomas M, additional, Eisenberg, Marisa C, additional, Falb, Karl, additional, Huang, Yitao, additional, Martin, Emily T, additional, McCauley, Ella, additional, Myers, Robert L, additional, Schwarz, Tom, additional, Sheldon, Daniel, additional, Gibson, Graham Casey, additional, Yu, Rose, additional, Gao, Liyao, additional, Ma, Yian, additional, Wu, Dongxia, additional, Yan, Xifeng, additional, Jin, Xiaoyong, additional, Wang, Yu-Xiang, additional, Chen, YangQuan, additional, Guo, Lihong, additional, Zhao, Yanting, additional, Gu, Quanquan, additional, Chen, Jinghui, additional, Wang, Lingxiao, additional, Xu, Pan, additional, Zhang, Weitong, additional, Zou, Difan, additional, Biegel, Hannah, additional, Lega, Joceline, additional, McConnell, Steve, additional, Nagraj, VP, additional, Guertin, Stephanie L, additional, Hulme-Lowe, Christopher, additional, Turner, Stephen D, additional, Shi, Yunfeng, additional, Ban, Xuegang, additional, Walraven, Robert, additional, Hong, Qi-Jun, additional, Kong, Stanley, additional, van de Walle, Axel, additional, Turtle, James A, additional, Ben-Nun, Michal, additional, Riley, Steven, additional, Riley, Pete, additional, Koyluoglu, Ugur, additional, DesRoches, David, additional, Forli, Pedro, additional, Hamory, Bruce, additional, Kyriakides, Christina, additional, Leis, Helen, additional, Milliken, John, additional, Moloney, Michael, additional, Morgan, James, additional, Nirgudkar, Ninad, additional, Ozcan, Gokce, additional, Piwonka, Noah, additional, Ravi, Matt, additional, Schrader, Chris, additional, Shakhnovich, Elizabeth, additional, Siegel, Daniel, additional, Spatz, Ryan, additional, Stiefeling, Chris, additional, Wilkinson, Barrie, additional, Wong, Alexander, additional, Cavany, Sean, additional, España, Guido, additional, Moore, Sean, additional, Oidtman, Rachel, additional, Perkins, Alex, additional, Kraus, David, additional, Kraus, Andrea, additional, Gao, Zhifeng, additional, Bian, Jiang, additional, Cao, Wei, additional, Ferres, Juan Lavista, additional, Li, Chaozhuo, additional, Liu, Tie-Yan, additional, Xie, Xing, additional, Zhang, Shun, additional, Zheng, Shun, additional, Vespignani, Alessandro, additional, Chinazzi, Matteo, additional, Davis, Jessica T, additional, Mu, Kunpeng, additional, y Piontti, Ana Pastore, additional, Xiong, Xinyue, additional, Zheng, Andrew, additional, Baek, Jackie, additional, Farias, Vivek, additional, Georgescu, Andreea, additional, Levi, Retsef, additional, Sinha, Deeksha, additional, Wilde, Joshua, additional, Perakis, Georgia, additional, Bennouna, Mohammed Amine, additional, Nze-Ndong, David, additional, Singhvi, Divya, additional, Spantidakis, Ioannis, additional, Thayaparan, Leann, additional, Tsiourvas, Asterios, additional, Sarker, Arnab, additional, Jadbabaie, Ali, additional, Shah, Devavrat, additional, Penna, Nicolas Della, additional, Celi, Leo A, additional, Sundar, Saketh, additional, Wolfinger, Russ, additional, Osthus, Dave, additional, Castro, Lauren, additional, Fairchild, Geoffrey, additional, Michaud, Isaac, additional, Karlen, Dean, additional, Kinsey, Matt, additional, Mullany, Luke C., additional, Rainwater-Lovett, Kaitlin, additional, Shin, Lauren, additional, Tallaksen, Katharine, additional, Wilson, Shelby, additional, Lee, Elizabeth C, additional, Dent, Juan, additional, Grantz, Kyra H, additional, Hill, Alison L, additional, Kaminsky, Joshua, additional, Kaminsky, Kathryn, additional, Keegan, Lindsay T, additional, Lauer, Stephen A, additional, Lemaitre, Joseph C, additional, Lessler, Justin, additional, Meredith, Hannah R, additional, Perez-Saez, Javier, additional, Shah, Sam, additional, Smith, Claire P, additional, Truelove, Shaun A, additional, Wills, Josh, additional, Marshall, Maximilian, additional, Gardner, Lauren, additional, Nixon, Kristen, additional, Burant, John C., additional, Wang, Lily, additional, Gao, Lei, additional, Gu, Zhiling, additional, Kim, Myungjin, additional, Li, Xinyi, additional, Wang, Guannan, additional, Wang, Yueying, additional, Yu, Shan, additional, Reiner, Robert C, additional, Barber, Ryan, additional, Gakidou, Emmanuela, additional, Hay, Simon I., additional, Lim, Steve, additional, Murray, Chris J.L., additional, Pigott, David, additional, Gurung, Heidi L, additional, Baccam, Prasith, additional, Stage, Steven A, additional, Suchoski, Bradley T, additional, Prakash, B. Aditya, additional, Adhikari, Bijaya, additional, Cui, Jiaming, additional, Rodríguez, Alexander, additional, Tabassum, Anika, additional, Xie, Jiajia, additional, Keskinocak, Pinar, additional, Asplund, John, additional, Baxter, Arden, additional, Oruc, Buse Eylul, additional, Serban, Nicoleta, additional, Arik, Sercan O, additional, Dusenberry, Mike, additional, Epshteyn, Arkady, additional, Kanal, Elli, additional, Le, Long T, additional, Li, Chun-Liang, additional, Pfister, Tomas, additional, Sava, Dario, additional, Sinha, Rajarishi, additional, Tsai, Thomas, additional, Yoder, Nate, additional, Yoon, Jinsung, additional, Zhang, Leyou, additional, Abbott, Sam, additional, Bosse, Nikos I, additional, Funk, Sebastian, additional, Hellewell, Joel, additional, Meakin, Sophie R, additional, Sherratt, Katharine, additional, Zhou, Mingyuan, additional, Kalantari, Rahi, additional, Yamana, Teresa K, additional, Pei, Sen, additional, Shaman, Jeffrey, additional, Li, Michael L, additional, Bertsimas, Dimitris, additional, Lami, Omar Skali, additional, Soni, Saksham, additional, Bouardi, Hamza Tazi, additional, Ayer, Turgay, additional, Adee, Madeline, additional, Chhatwal, Jagpreet, additional, Dalgic, Ozden O, additional, Ladd, Mary A, additional, Linas, Benjamin P, additional, Mueller, Peter, additional, Xiao, Jade, additional, Wang, Yuanjia, additional, Wang, Qinxia, additional, Xie, Shanghong, additional, Zeng, Donglin, additional, Green, Alden, additional, Bien, Jacob, additional, Brooks, Logan, additional, Hu, Addison J, additional, Jahja, Maria, additional, McDonald, Daniel, additional, Narasimhan, Balasubramanian, additional, Politsch, Collin, additional, Rajanala, Samyak, additional, Rumack, Aaron, additional, Simon, Noah, additional, Tibshirani, Ryan J, additional, Tibshirani, Rob, additional, Ventura, Valerie, additional, Wasserman, Larry, additional, O’Dea, Eamon B, additional, Drake, John M, additional, Pagano, Robert, additional, Tran, Quoc T, additional, Tung Ho, Lam Si, additional, Huynh, Huong, additional, Walker, Jo W, additional, Slayton, Rachel B, additional, Johansson, Michael A, additional, Biggerstaff, Matthew, additional, and Reich, Nicholas G, additional
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279. Demand for self-managed online telemedicine abortion in eight European countries during the COVID-19 pandemic: a regression discontinuity analysis
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Aiken, Abigail R A, primary, Starling, Jennifer E, additional, Gomperts, Rebecca, additional, Scott, James G, additional, and Aiken, Catherine E, additional
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- 2021
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280. The Patient Experience of Recovery Following Anti-NMDA Receptor Encephalitis: A Qualitative Content Analysis
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McKeon, Gemma, primary, Parker, Stephen, additional, Warren, Nicola, additional, and Scott, James G., additional
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- 2021
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281. CoMET: a randomised controlled trial of co-commencement of metformin versus placebo as an adjunctive treatment to attenuate weight gain in patients with schizophrenia newly commenced on clozapine
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Siskind, Dan, primary, Russell, Anthony W., additional, Suetani, Shuichi, additional, Flaws, Dylan, additional, Kisely, Steve, additional, Moudgil, Vikas, additional, Northwood, Korinne, additional, Robinson, Gail, additional, Scott, James G., additional, Stedman, Terry, additional, Warren, Nicola, additional, Winckel, Karl, additional, Cosgrove, Peter, additional, and Baker, Andrea, additional
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- 2021
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282. Research Review: Epidemiological modelling of attention-deficit/hyperactivity disorder and conduct disorder for the Global Burden of Disease Study 2010
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Erskine, Holly E., Ferrari, Alize J., Nelson, Paul, Polanczyk, Guilherme V., Flaxman, Abraham D., Vos, Theo, Whiteford, Harvey A., and Scott, James G.
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- 2013
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283. Retention Rates on RBANS Memory Subtests in Elderly Adults
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Schoenberg, Mike R., Duff, Kevin, Beglinger, Leigh J., Moser, David J., Bayless, John D., Mold, James, Scott, James G., and Adams, Russell L.
- Subjects
Dementia -- Care and treatment -- Research ,Aged patients -- Health aspects -- Psychological aspects -- Care and treatment ,Memory disorders in old age -- Research -- Care and treatment ,Psychology and mental health ,Seniors ,Psychological aspects ,Care and treatment ,Analysis ,Research ,Health aspects - Abstract
Keywords: memory; dementia; retention rates; test; forgetting 26 Retention Rates on RBANS Memory Subtests in Elderly Adults SAGE Publications, Inc.200810.1177/0891988707311030 Mike R.Schoenberg PhD University Hospitals Case Medical Center, Cleveland, Ohio, [...]
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- 2008
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284. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Roth, Gregory A., Collaborotors, G. B. 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Shi, P, Shiferaw, M, Shigematsu, M, Shiri, R, Shirkoohi, R, Shiue, I, Shokraneh, F, Shrime, M, Si, S, Siabani, S, Siddiqi, T, Sigfusdottir, I, Sigurvinsdottir, R, Silberberg, D, Santos Silva, D, Silva, J, Da Silva, N, Silveira, D, Singh, J, Singh, N, Singh, P, Singh, V, Sinha, D, Sliwa, K, Smith, M, Sobaih, B, Sobhani, S, Sobngwi, E, Soneji, S, Soofi, M, Sorensen, R, Soriano, J, Soyiri, I, Sposato, L, Sreeramareddy, C, Srinivasan, V, Stanaway, J, Starodubov, V, Stathopoulou, V, Stein, D, Steiner, C, Stewart, L, Stokes, M, Subart, M, Sudaryanto, A, Sufiyan, M, Sur, P, Sutradhar, I, Sykes, B, Sylaja, P, Sylte, D, Szoeke, C, Tabares-Seisdedos, R, Tabuchi, T, Tadakamadla, S, Takahashi, K, Tandon, N, Tassew, S, Taveira, N, Tehrani-Banihashemi, A, Tekalign, T, Tekle, M, Temsah, M, Temsah, O, Terkawi, A, Teshale, M, Tessema, B, Tessema, G, Thankappan, K, Thirunavukkarasu, S, Thomas, N, Thrift, A, Thurston, G, Tilahun, B, To, Q, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Torre, A, Tortajada-Girbes, M, Touvier, M, Tovani-Palone, M, Tran, B, Tran, K, Tripathi, S, Troeger, C, Truelsen, T, Truong, N, Tsadik, A, Tsoi, D, Tudor Car, L, Murat Tuzcu, E, Tyrovolas, S, Ukwaja, K, Ullah, I, Undurraga, E, Updike, R, Usman, M, Uthman, O, Uzun, S, Vaduganathan, M, Vaezi, A, Vaidya, G, Valdez, P, Varavikova, E, Vasankari, T, Venketasubramanian, N, Villafaina, S, Violante, F, Vladimirov, S, Vlassov, V, Vollset, S, Vos, T, Wagner, G, Wagnew, F, Waheed, Y, Wallin, M, Walson, J, Wang, Y, Wassie, M, Weiderpass, E, Weintraub, R, Weldegebreal, F, Weldegwergs, K, Werdecker, A, Werkneh, A, West, T, Westerman, R, Whiteford, H, Widecka, J, Wilner, L, Wilson, S, Winkler, A, Wiysonge, C, Wolfe, C, Wu, S, Wu, Y, Wyper, G, Xavier, D, Xu, G, Yadgir, S, Yadollahpour, A, Yahyazadeh Jabbari, S, Yakob, B, Yan, L, Yano, Y, Yaseri, M, Yasin, Y, Yentur, G, Yeshaneh, A, Yimer, E, Yip, P, Yirsaw, B, Yisma, E, Yonemoto, N, Yonga, G, Yoon, S, Yotebieng, M, Younis, M, Yousefifard, M, Yu, C, Zadnik, V, Zaidi, Z, Zaman, S, Zamani, M, Zare, Z, Zeleke, A, Zenebe, Z, Zhang, A, Zhang, K, Zhou, M, Zodpey, S, Zuhlke, L, Naghavi, M, Murray, C, Kardiyoloji, Department of Public Health, Clinicum, University of Helsinki, Department of Neurosciences, Department of Surgery, HUS Comprehensive Cancer Center, Roth, Ga, Abate, Kh, Abay, Sm, Abebe, Ht, Abejie, An, Abera, Sf, Abil, Oz, Abraha, Hn, Abrham, Ar, Abu-Raddad, Lj, Accrombessi, Mmk, Adamu, Aa, Adebayo, Om, Adedoyin, Ra, Adetokunboh, Oo, Adhena, Bm, Adib, Mg, Agesa, Km, Ahmed, Mb, Aichour, An, Aichour, Mte, Akbari, Me, Akinyemi, Ro, Al-Raddadi, Rm, Alene, Ka, Aljunid, Sm, Amare, At, Aminde, Ln, Amoako, Ya, Anber, Nh, Andrei, Cl, Animut, Md, Ansha, Mg, Antonio, Cat, Ärnlöv, J, Aryal, Kk, Asfaw, Et, Atre, Sr, Avokpaho, Efga, Quintanilla, Bpa, Bali, Ag, Ballesteros, Ke, Banoub, Jam, Barboza, Ma, Barker-Collo, Sl, Bärnighausen, Tw, Barrero, Lh, Baune, Bt, Baynes, Hw, Béjot, Y, Bekele, Bb, Belachew, Ab, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bensenor, Im, Berman, Ae, Bertolacci, Gj, Bhutta, Za, Biehl, Mh, Blacker, Bf, Basara, Bb, Brady, Oj, Brant, Lc, Breitborde, Njk, Butt, Za, Callender, Cskh, Campos-Nonato, Ir, Campuzano Rincon, Jc, Cárdenas, R, Carrero, Jj, Castañeda-Orjuela, Ca, Castle, Cd, Catalá-López, F, Chang, Jc, Charlson, Fj, Chiang, Pp, Chisumpa, Vh, Christopher, Dj, Chung, Sc, Cicuttini, Fm, Ciobanu, Lg, Cohen, Aj, Cooper, Lt, Cortesi, Pa, Cowie, Bc, Criqui, Mh, Cromwell, Ea, Crump, Ja, Daba, Ak, Dadi, Af, Dang, Ak, Dargan, Pi, Das, Sk, Gupta, Rd, Neves, Jd, Dasa, Tt, Dash, Ap, Davis, Ac, Davitoiu, Dv, De La Hoz, Fp, De Neve, Jw, Degefa, Mg, Degfie, Tt, Demoz, Gt, Demtsu, Bb, Denova-Gutiérrez, E, Des Jarlais, Dc, Dessie, Ga, Dharmaratne, Sd, Dinberu, Mt, Ding, El, Dirac, Ma, Doku, Dt, Donnelly, Ca, Dorsey, Er, Doshi, Pp, Doyle, Ke, Driscoll, Tr, Duken, Ee, Duncan, Bb, Duraes, Ar, Eggen, Ae, Ellingsen, Cl, Endries, Ay, Erskine, He, Farinha, Cse, Farzaei, Mh, Feigin, Vl, Feigl, Ab, Fereshtehnejad, Sm, Fernandes, Jc, Ferrari, Aj, Feyissa, Gt, Foigt, Na, Foreman, Kj, Frank, Td, Fuller, Je, Fürst, T, Furtado, Jm, Futran, Nd, Garcia-Basteiro, Al, Garcia-Gordillo, Ma, Gardner, Wm, Gebre, Ak, Gebrehiwot, Tt, Gebremedhin, At, Gebremichael, Tg, Gelano, Tf, Geleijnse, Jm, Geramo, Ycd, Gething, Pw, Gezae, Ke, Ghadami, Mr, Gibney, Kb, Gill, Tk, Gillum, Rf, Ginawi, Ia, Goldberg, Em, Gómez-Dantés, H, Gona, Pn, Gopalani, Sv, Gorman, Tm, Goulart, Ac, Gnedovskaya, Ev, Gugnani, Hc, Guimaraes, Al, Gupta, Pc, Gutiérrez, Ra, Haagsma, Ja, Hagos, Tb, Hailegiyorgis, Tt, Hailu, Gb, Hamadeh, Rr, Handal, Aj, Hankey, Gj, Harb, Hl, Haro, Jm, Hassen, Hy, Hay, Rj, Hay, Si, Hegazy, Mi, Henry, Nj, Hibstu, Dt, Hoek, Hw, Hole, Mk, Hosgood, Hd, Hosseini, Sm, Hotez, Pj, Hoy, Dg, Huang, Jj, Hussen, Mm, Irvani, Ssn, Irvine, Cm, Islam, Sm, Jacobsen, Kh, Jain, Sk, Jalu, Mt, James, Sl, Jayatilleke, Au, Jenkins, Kj, Jha, Rp, Johnson, Co, Johnson, Sc, Jonas, Jb, Jozwiak, Jj, Jungari, Sb, Jürisson, M, Kassa, Dh, Kassa, Gm, Kassa, Td, Kassebaum, Nj, Katikireddi, Sv, Karyani, Ak, Kefale, At, Keiyoro, Pn, Kemp, Gr, Kengne, Ap, Kesavachandran, Cn, Khafaie, Ma, Khalil, Ia, Khan, Ea, Khan, Ma, Khang, Yh, Khater, Mm, Khoja, At, Khosravi, Mh, Kiadaliri, Aa, Kibret, Gd, Kidanemariam, Zt, Kiirithio, Dn, Kim, Ye, Kim, Yj, Kimokoti, Rw, Kivimäki, M, Knudsen, Ak, Kocarnik, Jm, Kopec, Ja, Koul, Pa, Kravchenko, Ma, Kumar, Ga, Kutz, Mj, Kyu, Hh, Lad, Dp, Lad, Sd, Lal, Dk, Lam, Jo, Lami, Fh, Lansingh, Vc, Larson, Hj, Lau, Km, Lazarus, Jv, Lee, Ph, Leshargie, Ct, Lim, Ll, Limenih, Ma, Lopez, Ad, Lotufo, Pa, Macarayan, Erk, Mackay, Mt, Maclachlan, Jh, Maddison, Er, Maghavani, Dp, Malta, Dc, Manda, Al, Mandarano-Filho, Lg, Mansournia, Ma, Mapoma, Cc, Maravilla, Jc, Marks, Gb, Martins-Melo, Fr, März, W, Marzan, Mb, Masci, Jr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mcmahon, Bj, Mehndiratta, Mm, Mehta, Km, Mekonnen, Tc, Memiah, Ptn, Memish, Za, Mengistu, Dt, Mensah, Ga, Mereta, St, Meretoja, Tj, Mezgebe, Hb, Millear, Ai, Miller, Tr, Miller-Petrie, Mk, Mini, Gk, Mirrakhimov, Em, Misganaw, At, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Moreno Velásquez, I, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Muchie, Kf, Mueller, Uo, Mumford, Je, Musa, Ki, Nachega, Jb, Nansseu, Jr, Nascimento, Br, Negoi, Ri, Newton, Crj, Ngalesoni, Fn, Ngunjiri, Jw, Nguyen, Aq, Nguyen, Ht, Nguyen, Lh, Nguyen, Th, Ningrum, Dna, Nirayo, Yl, Nixon, Mr, Norheim, Of, Noubiap, Jj, Nouri, Hr, Nourollahpour Shiadeh, M, Nowroozi, Mr, Odell, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olivares, Pr, Olsen, He, Olusanya, Bo, Olusanya, Jo, Ong, Kl, Ong, Sk, Orpana, Hm, Ortiz, Jr, Øverland, S, Owolabi, Mo, Özdemir, R, P A, M, Pakhare, Ap, Pakpour, Ah, Pandian, Jd, Park, Ek, Parry, Cdh, Patton, Gc, Paturi, Vr, Paulson, Kr, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Postma, Mj, Purcell, Ca, Quistberg, Da, Rade, Kw, Radfar, A, Rafay, A, Rafiei, A, Rahim, F, Rahman, Mhu, Rahman, Ma, Rai, Rk, Ranabhat, Cl, Rao, Pc, Rawaf, Dl, Razo-García, C, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Riahi, Sm, Ribeiro, Alp, Rios-Blancas, Mj, Roba, Kt, Roberts, Nl, Robinson, Sr, Sahraian, Ma, Saldanha, Rf, Sambala, Ez, Samy, Am, Sanchez-Niño, Md, Santomauro, Df, Santos, Jv, Milicevic, Mm, Sao Jose, Bp, Sarker, Ar, Sarmiento-Suárez, R, Sawant, Ar, Schmidt, Mi, Schneider, Ijc, Schöttker, B, Schutte, Ae, Schwebel, Dc, Scott, Jg, Sepanlou, Sg, Serván-Mori, E, Shackelford, Ka, Shaheen, Aa, Shaikh, Ma, Shrime, Mg, Siddiqi, Tj, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silva, Ntd, Silveira, Dga, Singh, Ja, Singh, Np, Singh, Pk, Sinha, Dn, Sobaih, Bh, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Starodubov, Vi, Stein, Dj, Stewart, Lg, Stokes, Ma, Subart, Ml, Sufiyan, Mb, Sur, Pj, Sykes, Bl, Sylaja, Pn, Sylte, Do, Szoeke, Cei, Tabarés-Seisdedos, R, Tadakamadla, Sk, Tassew, Sg, Tekalign, Tg, Tekle, Mg, Temsah, Mh, Teshale, My, Tessema, Ga, Thankappan, Kr, Thrift, Ag, Thurston, Gd, To, Qg, Torre, Ae, Tortajada-Girbés, M, Tovani-Palone, Mr, Tran, Bx, Tran, Kb, Troeger, Ce, Truelsen, Tc, Truong, Nt, Tsadik, Ag, Tuzcu, Em, Ukwaja, Kn, Undurraga, Ea, Updike, Rl, Uthman, Oa, Uzun, Sb, Valdez, Pr, Vasankari, Tj, Vladimirov, Sk, Vollset, Se, Wagner, Gr, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weintraub, Rg, Weldegwergs, Kg, Werkneh, Aa, West, Te, Whiteford, Ha, Wilner, Lb, Wolfe, Cda, Wu, Yc, Wyper, Gma, Yahyazadeh Jabbari, Sh, Yan, Ll, Yasin, Yj, Yentür, Gk, Yimer, Em, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaman, Sb, Zeleke, Aj, Zenebe, Zm, Zhang, Al, Zuhlke, Lj, and Murray, Cjl.
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Adult ,Male ,Adolescent ,national age-sex-specific mortality ,UNITED-STATES ,Global Health ,Socioeconomic Factor ,Global Burden of Disease ,GBD, causes of death ,Young Adult ,Age Distribution ,Life Expectancy ,General & Internal Medicine ,Cause of Death ,PUBLIC-HEALTH PROBLEM ,mortality ,282 causes global burden of disease ,Sex Distribution ,Child ,Aged ,Aged, 80 and over ,BARRIERS ,DEMENTIA ,Medicine (all) ,Infant, Newborn ,Infant ,11 Medical And Health Sciences ,Middle Aged ,TRENDS ,PREVENTION ,PREVALENCE ,ALZHEIMERS-DISEASE ,INDIVIDUALS ,3121 General medicine, internal medicine and other clinical medicine ,Child, Preschool ,REGISTRATION ,Female ,Human medicine ,Human - Abstract
Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODErn), to generate cause fractions and cause specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NC Ds) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5-74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 186% (17.9-19.6), and injuries 8.0% (7.7-8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5-23.9), representing an additional 7.61 million (7. 20-8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.08.8). The number of deaths for CMNN causes decreased by 222% (20.0-24.0) and the death rate by 31.8% (30.1-33.3). Total deaths from injuries increased by 2.3% (0-5-4-0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2-15.1) to 57.9 deaths (55.9-59.2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8-148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2-40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2-36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respirator}, infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990 neonatal disorders, lower respiratory infections, and diarrhoeal diseases were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
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- 2018
285. Supplemental Material, sj-doc-1-cpa-10.1177_0706743720982437 - Adjunctive Garcinia mangostana Linn. (Mangosteen) Pericarp for Schizophrenia: A 24-Week Double-blind, Randomized, Placebo Controlled Efficacy Trial: Péricarpe d’appoint Garcinia mangostana Linn (mangoustan) pour la schizophrénie : un essai d’efficacité de 24 semaines, à double insu, randomisé et contrôlé par placebo
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Alyna Turner, Baker, Andrea, Dean, Olivia M., Walker, Adam J., Seetal Dodd, Cotton, Susan M., Scott, James G., Kavanagh, Bianca E., Ashton, Melanie M., Brown, Ellie, McGrath, John J., and Berk, Michael
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FOS: Psychology ,FOS: Clinical medicine ,170199 Psychology not elsewhere classified ,110319 Psychiatry (incl. Psychotherapy) - Abstract
Supplemental Material, sj-docx-1-cpa-10.1177_0706743720982437 for Adjunctive Garcinia mangostana Linn. (Mangosteen) Pericarp for Schizophrenia: A 24-Week Double-blind, Randomized, Placebo Controlled Efficacy Trial: Péricarpe d’appoint Garcinia mangostana Linn (mangoustan) pour la schizophrénie : un essai d’efficacité de 24 semaines, à double insu, randomisé et contrôlé par placebo by Alyna Turner, Andrea Baker, Olivia M. Dean, Adam J. Walker, Seetal Dodd, Susan M. Cotton, James G. Scott, Bianca E. Kavanagh, Melanie M. Ashton, Ellie Brown, John J. McGrath and Michael Berk in The Canadian Journal of Psychiatry
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- 2020
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286. Core Principles of International Research: Lessons From the National Adolescent Mental Health Surveys.
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Erskine, Holly E., Enright, Meaghan E., Blondell, Sarah J., Shadid, Jamileh, Scott, James G., and Whiteford, Harvey A.
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- 2023
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287. Increasing Data and Understanding of Adolescent Mental Health Worldwide: UNICEF's Measurement of Mental Health Among Adolescents at the Population Level Initiative.
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Carvajal-Velez, Liliana, Harris Requejo, Jennifer, Ahs, Jill W., Idele, Priscilla, Adewuya, Abiodun, Cappa, Claudia, Guthold, Regina, Kapungu, Chisina, Kieling, Christian, Patel, Vikram, Patton, George, Scott, James G., Servili, Chiara, Wasserman, Danuta, and Kohrt, Brandon A.
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- 2023
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288. Monotone function estimation in the presence of extreme data coarsening: Analysis of preeclampsia and birth weight in urban Uganda
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Starling, Jennifer E., Aiken, Catherine E., Murray, Jared S., Nakimuli, Annettee, and Scott, James G.
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FOS: Computer and information sciences ,Applications (stat.AP) ,Statistics - Applications - Abstract
This paper proposes a Bayesian hierarchical model to characterize the relationship between birth weight and maternal pre-eclampsia across gestation at a large maternity hospital in urban Uganda. Key scientific questions we investigate include: 1) how pre-eclampsia compares to other maternal-fetal covariates as a predictor of birth weight; and 2) whether the impact of pre-eclampsia on birthweight varies across gestation. Our model addresses several key statistical challenges: it correctly encodes the prior medical knowledge that birth weight should vary smoothly and monotonically with gestational age, yet it also avoids assumptions about functional form along with assumptions about how birth weight varies with other covariates. Our model also accounts for the fact that a high proportion (83%) of birth weights in our data set are rounded to the nearest 100 grams. Such extreme data coarsening is rare in maternity hospitals in high resource obstetrics settings but common for data sets collected in low and middle-income countries (LMICs); this introduces a substantial extra layer of uncertainty into the problem and is a major reason why we adopt a Bayesian approach. Our proposed non-parametric regression model, which we call Projective Smooth BART (psBART), builds upon the highly successful Bayesian Additive Regression Tree (BART) framework. This model captures complex nonlinear relationships and interactions, induces smoothness and monotonicity in a single target covariate, and provides a full posterior for uncertainty quantification. The results of our analysis show that pre-eclampsia is a dominant predictor of birth weight in this urban Ugandan setting, and therefore an important risk factor for perinatal mortality.
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- 2019
289. Case studies in Bayesian screening for time-varying model structure: the partition problem
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Liu, Zesong, primary, Windle, Jesse, additional, and Scott, James G., additional
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- 2013
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290. Preferences of people with mental illness for engaging in exercise programs under COVID-19 restrictions
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Chapman, Justin J, primary, Hielscher, Emily, additional, Patterson, Sue, additional, Reavley, Nicola, additional, Brown, Wendy J, additional, Wyder, Marianne, additional, Childs, Sarah, additional, Russell, Anneliese, additional, Suetani, Shuichi, additional, and Scott, James G, additional
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- 2020
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291. Adjunctive Garcinia mangostana Linn. (Mangosteen) Pericarp for Schizophrenia: A 24-Week Double-blind, Randomized, Placebo Controlled Efficacy Trial: Péricarpe d’appoint Garcinia mangostana Linn (mangoustan) pour la schizophrénie : un essai d’efficacité de 24 semaines, à double insu, randomisé et contrôlé par placebo
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Turner, Alyna, primary, Baker, Andrea, additional, Dean, Olivia M., additional, Walker, Adam J., additional, Dodd, Seetal, additional, Cotton, Susan M., additional, Scott, James G., additional, Kavanagh, Bianca E., additional, Ashton, Melanie M., additional, Brown, Ellie, additional, McGrath, John J., additional, and Berk, Michael, additional
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- 2020
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292. 16Up: Outline of a Study Investigating Wellbeing and Information and Communication Technology Use in Adolescent Twins
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Mitchell, Brittany L., primary, Kirk, Katherine M., additional, McAloney, Kerrie, additional, Wright, Margaret J., additional, Davenport, Tracey A., additional, Hermens, Daniel F., additional, Scott, James G., additional, McGrath, John J., additional, Gillespie, Nathan A., additional, Carpenter, Joanne S., additional, O’Callaghan, Victoria S., additional, Medland, Sarah, additional, Christensen, Helen, additional, Martin, Nicholas G., additional, Burns, Jane M., additional, and Hickie, Ian B., additional
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- 2020
- Full Text
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293. Effect of Sodium Benzoate vs Placebo Among Individuals With Early Psychosis
- Author
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Scott, James G., primary, Baker, Andrea, additional, Lim, Carmen C. W., additional, Foley, Sharon, additional, Dark, Frances, additional, Gordon, Anne, additional, Ward, David, additional, Richardson, Drew, additional, Bruxner, George, additional, Beckmann, K. Martin, additional, Hatherill, Sean, additional, Stathis, Stephen, additional, Dixon, Krystal, additional, Ryan, Alexander E., additional, McWhinney, Brett C., additional, Ungerer, Jacobus P. J., additional, Berk, Michael, additional, Dean, Olivia M., additional, Saha, Sukanta, additional, and McGrath, John, additional
- Published
- 2020
- Full Text
- View/download PDF
294. Agency notification and retrospective self-reports of childhood maltreatment in a 30-Year cohort: Estimating population prevalence from different data sources
- Author
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Najman, Jackob M., primary, Kisely, Steve, additional, Scott, James G., additional, Strathearn, Lane, additional, Clavarino, Alexandra, additional, Williams, Gail M., additional, Middeldorp, Christel, additional, and Bernstein, David, additional
- Published
- 2020
- Full Text
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295. Muddying the waters? A false positive case of autoimmune psychosis
- Author
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Ketheesan, Sarangan, primary, Bertram, Georgia, additional, Adam, Robert, additional, Stark, Anne, additional, and Scott, James G, additional
- Published
- 2020
- Full Text
- View/download PDF
296. Social and Economic Costs of Attention-Deficit/Hyperactivity Disorder Across the Lifespan
- Author
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Sciberras, Emma, primary, Streatfeild, Jared, additional, Ceccato, Tristan, additional, Pezzullo, Lynne, additional, Scott, James G., additional, Middeldorp, Christel M., additional, Hutchins, Paul, additional, Paterson, Roger, additional, Bellgrove, Mark A., additional, and Coghill, David, additional
- Published
- 2020
- Full Text
- View/download PDF
297. Research Review: The role of cytokines in depression in adolescents: a systematic review
- Author
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Mills, Natalie T., Scott, James G., Wray, Naomi R., Cohen-Woods, Sarah, and Baune, Bernhard T.
- Published
- 2013
- Full Text
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298. Efficacy of risperidone in children with disruptive behavioural disorders
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Duhig, Michael J, Saha, Sukanta, and Scott, James G
- Published
- 2013
- Full Text
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299. Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction*
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Polson, Nicholas G., primary and Scott, James G., additional
- Published
- 2011
- Full Text
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300. Memory and Learning: The Forgetful Patient
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Scott, James G., primary and Schoenberg, Mike R., additional
- Published
- 2010
- Full Text
- View/download PDF
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