Webinar on Generating and Interpreting Evidence About Effects in Obesity Research: Reducing Error and Strengthening Inferences
When: Thursday, 2/25/2021, 10:00 am - 4:00 pm
Where: TBD
Description: Limitations or errors in study design, data analysis, and data interpretation appear to underlie many of the misconceptions common in the public’s and professional communities’ understanding of obesity. This highly interactive webinar will help learners to interpret and communicate research with greater accuracy and fidelity to scientific principles and will help researchers to conduct research with greater rigor, reproducibility, and transparency. Leading experts will address randomized control trials, epidemiologic analysis, modeling and simulation studies, meta-analysis, and quasi- and natural-experiments. Stump-the-professor-style questions and answers sessions will address some of the most difficult concepts and research problems.

The Obesity Society is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Keyword: Type of Research: Clinical; Type of Research: Epidemiology; Type of Research: Interventions; Type of Research: Observational
Track: Track 3: Interventional and Clinical Studies; Track 6: Policy/Public Health

Launch Date: February 25, 2021

This is a ticketed Session that requires separate registration
Speakers:
David B. Allison, PhD, FTOSIntroduction10:00 am - 10:15 am
Michael Oakes, PhDRandomized Control Trials10:15 am - 10:45 am
Michael Oakes, PhDRandomized Control Trials / audience Q&A10:45 am - 11:15 am
Colby Vorland, PhDModerator- Randomized Control Trials Q&A10:45 am - 11:15 am
John L. Sievenpiper, MD, PhD, FRCPCEpidemiologic Analyses11:30 am - 12:00 pm
John L. Sievenpiper, MD, PhD, FRCPCEpidemiologic Analyses / audience Q&A12:00 pm - 12:30 pm
Bryan McComb, BSModerator - Epidemiologic Analyses Q&A12:00 pm - 12:30 pm
Diana M. Thomas, PhD, FTOSModeling and Simulation Studies12:45 pm - 1:15 pm
Diana M. Thomas, PhD, FTOSModeling and Simulation Studies / audience Q&A1:15 pm - 1:45 pm
Keisuke Ejima, PhDModerator - Modeling and Simulation Studies Q&A1:15 pm - 1:45 pm
Andrew W. Brown, PhD, FTOSMeta-Analysis2:45 pm - 3:15 pm
Andrew W. Brown, PhD, FTOSMeta-Analysis / audience Q&A3:15 pm - 3:45 pm
Bridget A. Hannon, PhD, MS, RDModerator - Meta-Analysis Q&A3:15 pm - 3:45 pm
Nir Menachemi, PhD, MPHQuasi-Experiments: Real World Case Study4:00 pm - 4:30 pm
Nir Menachemi, PhD, MPHQuasi-Experiments / audience Q&A4:30 pm - 5:00 pm
Alexis Wood, PhDModerator - Quasi Experiments Q&A4:30 pm - 5:00 pm
Sarah E. Deemer, PhDPanel Discussion Moderator5:15 pm - 6:00 pm
David B. Allison, PhD, FTOSPanel Discussion5:15 pm - 6:00 pm
Diana M. Thomas, PhD, FTOSPanel Discussion5:15 pm - 6:00 pm
Andrew W. Brown, PhD, FTOSPanel Discussion5:15 pm - 6:00 pm
John L. Sievenpiper, MD, PhD, FRCPCPanel Discussion5:15 pm - 6:00 pm
Michael Oakes, PhDPanel Discussion5:15 pm - 6:00 pm
Nir Menachemi, PhD, MPHPanel Discussion5:15 pm - 6:00 pm

Learning Objectives:
1. Learners will be able to conduct research with greater rigor, reproducibility, and transparency.
2. Learners will be able to interpret and communicate research with greater accuracy and fidelity to scientific principles.