Ellie Murray and Lucy D'Agostino McGowan chat with Sean Taylor from Lyft. Here are some links to the content we talk about in this episode: 📝 Sean’s <a href= "https://science.sciencemag.org/content/341/6146/647">Science paper</a> 📦 Prophet <a href= "https://cran.r-project.org/web/packages/prophet/prophet.pdf">R package</a> 📝 Book on <a href= "https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/"> time-varying exposures</a> 📝 Lyft engineering <a href= "https://eng.lyft.com/">blog</a> 📝 Hormone replacement therapy <a href= "https://journals.lww.com/epidem/Fulltext/2003/01000/Observational_Studies_and_Randomized_Trials_of.5.aspx"> overview</a> 📝 Analyzing observational HRT data by <a href= "https://www.ncbi.nlm.nih.gov/pubmed/18854702">emulating a trial</a> 📰 Local news <ul> <li>AJE <a href= "https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwaa004/5717184"> Methods Corner</a> </li> </ul> 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>Sean: <a href= "https://twitter.com/seanjtaylor">@SeanJTaylor</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>.

Coronavirus Conversations | Episode 09

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.