جستجوی استاد راهنمای دانشگاهی

Michele Jonsson-Funkمشاهده پروفایل

دانشیار

• Pharmacoepidemiology
• Women's Health Research
• Observational Data Methods
• +۷ مورد دیگر

Michele Jonsson-Funk, PhD, is an Associate Professor in the Department of Epidemiology at the UNC Gillings School of Global Public Health and Director of the Center for Pharmacoepidemiology. She leads the Pharmacoepidemiology Program within the Department and serves as an Affiliate Faculty member at the Injury Prevention Research Center. Dr. Jonsson-Funk is also a Fellow of the International Society for Pharmacoepidemiology and holds leadership roles in several professional organizations, including the Board of the International Society for Pharmacoepidemiology and advisory roles in epidemiology and clinical research networks. Dr. Jonsson-Funk holds a PhD in Epidemiology from the University of North Carolina at Chapel Hill (2003), a Master of Science in Public Health (MSPH) in Epidemiology from UNC Chapel Hill (2000), and a BA in Psychology from Reed College (1994). Her research focuses on pharmacoepidemiology, methods for estimating treatment effects in observational data, and women’s health. She examines topics such as sex differences in medication safety and efficacy, maternal and child health outcomes, and the application of electronic health records for population-level analyses. Her work integrates data from Medicare, Marketscan, and the Carolina Data Warehouse for Health to evaluate treatment effectiveness and safety. Dr. Jonsson-Funk has received several honors, including: Fellow, International Society for Pharmacoepidemiology (2018–present) Research Fellow, Sheps Center for Health Services Research, UNC Chapel Hill (2005–present) Member, Delta Omega Honorary Public Health Society, Theta Chapter (2004–present) Her research portfolio includes grants such as an R01 evaluating treatment effect heterogeneity in cardioprotective medications. She advises on interdisciplinary teams through her leadership roles in the Building Interdisciplinary Research Careers in Women’s Health (BIRCWH) Program and the Observational Pharmaco-Epidemiology Research & Analysis (OPERA) network. She also leads the Pharmacoepidemiology Research Lab Network under BIRCWH. Dr. Jonsson-Funk collaborates with clinical colleagues on studies addressing pelvic floor disorders, medication use during pregnancy, and diabetes-related cancer risks. Her methodological contributions include improving propensity score techniques and addressing confounding by frailty in observational studies.

James Floryمشاهده پروفایل

دانشیار

• Pharmacoepidemiology
• Diabetes Management
• Clinical Trials
• +۳ مورد دیگر

James Flory is an Associate Professor of Population Health Sciences at Weill Cornell Medical College , Cornell University. With an MD and MSCE from the University of Pennsylvania (2009) and a BA from Columbia University (2002), he specializes in pharmacoepidemiology and clinical research related to diabetes management, drug safety, and healthcare policy. Education: M.D., University of Pennsylvania School of Medicine, 2009 M.S.C.E., University of Pennsylvania School of Medicine, 2009 B.A., Columbia University, 2002 His research focuses on the intersection of diabetes pharmacology , cardiovascular risk , and health services research . He has contributed extensively to understanding drug safety (e.g., sulfonylureas, SGLT2 inhibitors, TRK inhibitors), medication adherence , and clinical decision-making in diabetes and oncology settings. His methodological work includes instrumental variable analysis , pragmatic trial design , and real-world data validation . James Flory's recent publications examine temperature-related diabetes complications , AI in clinical decision support , and policy impacts on medication utilization . His work combines epidemiological methods with health informatics to address critical questions in diabetic care , drug safety surveillance , and health equity .

• Applied statistics
• Clinical cancer research
• Controlled clinical trials
• +۵ مورد دیگر

Eva Skovlund is a Professor at the Department of Public Health and Nursing , Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Sciences. Her work bridges applied statistics with clinical research in cancer, obesity, and chronic disease management. Education : PhD in Medical Statistics, University of Oslo (1990) MSc in Pharmacy, University of Oslo (1985) Research Interests : Eva focuses on applied statistical methods , clinical cancer research , controlled clinical trials , and drug safety assessment . Her work spans hypertension management in Nepal, neuro-oncology, and metabolic effects of bariatric surgery. Publication Trends : Recent articles (2021–2025) emphasize brain metastases prognosis hypertension interventions in South Asia pharmacokinetic studies in obesity statistical modeling for multimorbidity maternal and child health risks Scientific Contributions : While no specific awards are listed, her extensive peer-reviewed publications in Cancers , BMJ Open , Clinical Pharmacokinetics , and Tidsskriftet underscore her impact.

Kjetil Røyslandمشاهده پروفایل

استاد

• Causal Inference
• Survival Analysis
• Health Registries
• +۱ مورد دیگر

Kjetil Røysland is a Professor at the University of Oslo, specializing in causal inference methodologies applied to survival analysis and clinical health registry data. His research focuses on developing statistical techniques for evaluating treatment effects, particularly in continuous-time frameworks involving survival data and event history analysis. He employs advanced mathematical tools such as counting processes, stochastic differential equations, and graph theory to address causal questions in healthcare. His work emphasizes methodological contributions to biostatistics, including causal mediation analysis, time-dependent confounding adjustment, and continuous-time marginal structural models. Røysland collaborates extensively with clinical researchers and contributes to health registries' utilization for improving evidence-based medical decisions. Røysland is affiliated with the Causal Inference and Event History Analysis research group. His publications span high-impact journals like the Journal of the Royal Statistical Society and Biometrics, reflecting his expertise in bridging theoretical statistics with practical healthcare applications.

• Medical Statistics
• Public Health
• Epidemiology
• +۷ مورد دیگر

Professor Jim Lewsey is a distinguished academic serving as Professor of Medical Statistics at the University of Glasgow's School of Health and Wellbeing since 2007. His extensive academic career spans multiple prestigious institutions including London School of Hygiene & Tropical Medicine, University of Otago, and University College London. Currently, he also serves as an External Examiner for the MSc Global Health Science and Epidemiology program at the University of Oxford's Nuffield Department of Population Health. Professor Lewsey's educational foundation includes a BSc (Hons) in Statistics and Operational Research from Coventry University (1990-1993), a PhD in 'Hypothesis Testing in Unbalanced Experimental Designs' from Glasgow Caledonian University (1993-1996), and a Postgraduate Certificate in Academic Practice from the University of Glasgow (2007-2009). His research portfolio demonstrates exceptional breadth and impact across public health methodology, with particular focus on natural experiments for evaluating population health interventions. Professor Lewsey has made significant contributions to alcohol policy research, notably through comprehensive evaluations of Scotland's minimum unit pricing policy, examining impacts on alcohol sales, hospital admissions, road traffic accidents, and ambulance call-outs. His work extends to multimorbidity research, diabetes policy modeling, cardiovascular disease prevention, and methodological innovations in instrumental variable approaches. Professor Lewsey's research output reveals consistent thematic focus on methodological rigor in public health evaluation. His recent publications demonstrate sophisticated application of interrupted time series analysis, natural experiment frameworks, and instrumental variable methods to address complex questions in population health. The work spans from clinical applications examining frailty and multimorbidity to population-level policy evaluations with direct implications for public health decision-making. Chartered Statistician from Royal Statistical Society (2010) Professor Lewsey has secured substantial research funding from major organizations including NIHR, Chief Scientist Office, Medical Research Council, and Alcohol Change UK. His current projects include the PHaCT Trial examining homelessness prevention for people leaving prison, the ELEPHANT study evaluating impacts of extended alcohol trading hours, and multiple studies assessing real-world treatment effectiveness in diabetes care. His grant portfolio reflects both methodological innovation and practical relevance to pressing public health challenges. As a leader in methodological approaches to public health evaluation, Professor Lewsey has significantly advanced the field through his development of frameworks for using natural experiments to evaluate population health interventions. His work bridges statistical methodology with practical public health applications, providing robust evidence to inform policy decisions while maintaining scientific rigor.