Ellie Murray and Lucy D'Agostino McGowan discuss Bayesian statistics, model validation, and more, with special guest Dr. Frank Harrell from the Department of Biostatistics at Vanderbilt University. 🤷‍♀️What does it mean to be Bayesian? 🤷‍♀️How can we decide if our models are good? 📈Frank's <a href="http://hbiostat.org/proj/covid19/">COVID trial resource hub</a>  📈Betsy Ogburn's <a href="https://covidcp.org">COVID trial protocol hub</a> 👨‍🏫Frank's <a href="https://hbiostat.org/bbr/">Free Biostatistics in Biomedical Research Course</a> 🐍Lucy's <a href= "https://twitter.com/AmJEpi/status/1181675138942554113?s=20">tweetorial on Type 1 error and including nonlinear terms in models</a> Follow along on Twitter: <ul> <li>The American Journal of Epidemiology: <a href= "https://twitter.com/amjepi">@AmJEpi</a></li> <li>Ellie: <a href= "https://twitter.com/epiellie">@EpiEllie</a></li> <li>Lucy: <a href= "https://twitter.com/lucystats">@LucyStats</a></li> <li>Frank: <a href= "https://twitter.com/f2harrell">@f2harrell</a></li> </ul> 🎶 Our intro/outro music is courtesy of <a href="https://josephmcdade.com/music">Joseph McDade</a>. 👩‍🎨 Our artwork is by <a href= "https://twitter.com/allison_horst">Allison Horst</a>.

COVID-19, Masks, and Designing Observational Studies | Episode 12

Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.