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.
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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
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Launch Date: February 25, 2021 |
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This is a ticketed Session that requires separate registration |
Speakers:
| David B. Allison, PhD, FTOS | Introduction | 10:00 am - 10:15 am | | Michael Oakes, PhD | Randomized Control Trials | 10:15 am - 10:45 am | | Michael Oakes, PhD | Randomized Control Trials / audience Q&A | 10:45 am - 11:15 am | | Colby Vorland, PhD | Moderator- Randomized Control Trials Q&A | 10:45 am - 11:15 am | | John L. Sievenpiper, MD, PhD, FRCPC | Epidemiologic Analyses | 11:30 am - 12:00 pm | | John L. Sievenpiper, MD, PhD, FRCPC | Epidemiologic Analyses / audience Q&A | 12:00 pm - 12:30 pm | | Bryan McComb, BS | Moderator - Epidemiologic Analyses Q&A | 12:00 pm - 12:30 pm | | Diana M. Thomas, PhD, FTOS | Modeling and Simulation Studies | 12:45 pm - 1:15 pm | | Diana M. Thomas, PhD, FTOS | Modeling and Simulation Studies / audience Q&A | 1:15 pm - 1:45 pm | | Keisuke Ejima, PhD | Moderator - Modeling and Simulation Studies Q&A | 1:15 pm - 1:45 pm | | Andrew W. Brown, PhD, FTOS | Meta-Analysis | 2:45 pm - 3:15 pm | | Andrew W. Brown, PhD, FTOS | Meta-Analysis / audience Q&A | 3:15 pm - 3:45 pm | | Bridget A. Hannon, PhD, MS, RD | Moderator - Meta-Analysis Q&A | 3:15 pm - 3:45 pm | | Nir Menachemi, PhD, MPH | Quasi-Experiments: Real World Case Study | 4:00 pm - 4:30 pm | | Nir Menachemi, PhD, MPH | Quasi-Experiments / audience Q&A | 4:30 pm - 5:00 pm | | Alexis Wood, PhD | Moderator - Quasi Experiments Q&A | 4:30 pm - 5:00 pm | | Sarah E. Deemer, PhD | Panel Discussion Moderator | 5:15 pm - 6:00 pm | | David B. Allison, PhD, FTOS | Panel Discussion | 5:15 pm - 6:00 pm | | Diana M. Thomas, PhD, FTOS | Panel Discussion | 5:15 pm - 6:00 pm | | Andrew W. Brown, PhD, FTOS | Panel Discussion | 5:15 pm - 6:00 pm | | John L. Sievenpiper, MD, PhD, FRCPC | Panel Discussion | 5:15 pm - 6:00 pm | | Michael Oakes, PhD | Panel Discussion | 5:15 pm - 6:00 pm | | Nir Menachemi, PhD, MPH | Panel Discussion | 5:15 pm - 6:00 pm |
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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. |
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