Overcoming Methodological Challenges in Obesity Research
CME credits: 3.5
Price: $150 (On-demand recording access included)
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.