Webinars and Online Learning: Science from The Obesity Society
The Obesity Society (TOS) offers webinars and online events where you can connect with opinion leaders and influencers in the obesity field and access the latest obesity-related information. TOS educational events are a great way to gain an in-depth understanding of essential aspects of obesity.
Medical Management of the Metabolic-Bariatric Surgery Patient
Wednesday, February 3, 2021
10:00 a.m. – 5:45 p.m. (ET)
CME credits: 6.25
Price: $200 (On-demand recording access included – To purchase On-demand recordings after the event, visit TOS’s On-Demand Education Webpage)
Severe obesity and its complications are best managed by an interdisciplinary team including both surgical and medical providers. This session will utilize presentations by leading experts, panel discussions, and dedicated time for interactive Q&A to cover best practice recommendations for the pre- and post-operative management of patients undergoing metabolic-bariatric surgery. Topics will include optimizing pre-operative care, as well as recognizing and developing approaches to the variability in post-operative weight loss and remission rates of obesity-related complications in both adult and pediatric patients.
TOS/ABE/ASGE Joint Webinar: Bariatric Endoscopy – Accelerate Your Practice
Saturday, February 6, 2021
10:00 a.m. – 6:00 p.m. (ET)
CME credits: 6
Price: $500
As bariatric endoscopy becomes mainstream, and the number of FDA-approved devices and procedures continues to grow, the time has come to integrate weight management and endoscopic bariatric therapy into your practice. This webinar will bring you up to date in the world of bariatric endoscopy and discuss practice integration and development.
This webinar was jointly produced by The Obesity Society (TOS), American Society for Gastrointestinal Endoscopy (ASGE), and Association for Bariatric Endoscopy (ABE).
Generating and Interpreting Evidence about Effects in Obesity Research: Reducing Error and Strengthening Inferences
Thursday, February 25, 2021
10:00 a.m. – 6:00 p.m. (ET)
CME credits: 6
Price: $150 (On-demand recording access included – To purchase On-demand recordings after the event, visit TOS’s On-Demand Education Webpage)
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 challenging concepts and research problems.
Overcoming Methodological Challenges in Obesity Research
February 23, 2021
12:30 p.m. – 5:15 p.m. (ET)
CME credits: 3.5
Price: $150 (On-demand recording access included – To purchase On-demand recordings after the event, visit TOS’s On-Demand Education Webpage)
How can we tell that the associations we read in the literature or use in our studies are giving us the right answers? Inferring causality from statistical models can lead to misconceptions in understanding obesity, its causes and consequences. This webinar draws on leading researchers from across the world to help attendees understand pitfalls that interfere with causal inference in obesity research using observational and clinic data. The goal of the webinar is to help attendees improve the quality of their own research, increase their impact, and improve understanding of obesity studies in the literature. Leading experts will address causal inference, Mendelian Randomization, the meaning of race in statistical models, and methods to use mobile technologies in clinic settings. Have an opportunity to ask leading experts about randomization techniques, causal modeling and causal inference, body composition measurement, and mobile health intervention methods.