Ellie Murray and Lucy D'Agostino McGowan discuss methodological advancement in causal inference with Dr. Elizabeth Ogburn from Johns Hopkins Bloomberg School of Public Health. 📄 Wang & Blei's <a href= "https://amstat.tandfonline.com/doi/full/10.1080/01621459.2019.1686987#.X2Pb55NKgbk"> The Blessings of Multiple Causes</a> paper 🦠 <a href="https://covidcp.org/">COVID-19 Collaboration Platform</a> 📈 <a href="https://lucy.shinyapps.io/covid19/">COVID-19 Meta-dashboard of dashboards</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>Betsy: <a href= "https://twitter.com/BetsyOgburn">@BetsyOgburn</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>.

An Ode to Generalized Linear Models | Episode 16

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.