Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5
Release Date: 11/08/2021
Casual Inference
Lucy and Ellie chat about immortal time bias, discussing a new paper Ellie co-authored on clone-censor-weights. The Clone-Censor-Weight Method in Pharmacoepidemiologic Research: Foundations and Methodological Implementation: Immortal time in pregnancy: Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of Edited by
info_outline Targeted Learning with Mar van der Laan | Season 5 Episode 2Casual Inference
Mark van der Laan is a professor of statistics at the University of California, Berkeley. His research focuses on developing statistical methods to estimate causal and non-causal parameters of interest, based on potentially complex and high dimensional data from randomized clinical trials or observational longitudinal studies, or from cross-sectional studies. Center for Targeted Learning, Berkeley: A causal roadmap: Short course on causal learning: Handbook on the TLverse (Targeted Learning in R): Mark on twitter: Follow along on Twitter: The American...
info_outline Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1Casual Inference
Ellie and Lucy kick off the season and introduce our new executive buzzer, Melita! Melita is a masters student in statistics at Wake Forest University and will be helping out with the podcast (and keeping Lucy and Ellie from using too much jargon!) Pros & Cons of RCT paper: Fernainy, P., Cohen, A.A., Murray, E. et al. Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion. BMC Proc 18 (Suppl 2), 1 (2024). Follow along on Twitter: The American Journal of Epidemiology: Ellie: ...
info_outline Remembering Ralph B. D'Agostino, Sr.Casual Inference
We are re-releasing an episode from 2021 in remembrance of . Ellie Murray and Lucy D’Agostino McGowan chat with Ralph D’Agostino Sr. and Ralph D’Agostino Jr. about their careers in statistics, looking back at how things have developed and forward at where they see the world of statistics and epidemiology going. Ralph D’Agostino Sr. was a professor of Mathematics/Statistics, Biostatistics, and Epidemiology at Boston University. He was the lead biostatistician for the Framingham Heart Study, a biostatistical consultant to The New England Journal of Medicine, an editor of...
info_outline Evidence Science with Cat Hicks | Season 4 Episode 11Casual Inference
Ellie and Lucy chat with Dr. Cat Hicks, VP of Research Insights and at Pluralsight Flow, about evidence science. Follow along on Twitter: Cat: The American Journal of Epidemiology: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of Edited by Quinn Rose:
info_outline M-Bias: Much Ado About Nothing? | Season 4 Episode 10Casual Inference
Lucy D'Agostino McGowan and Ellie Murray chat about a "Causal Quartet" and spend some extra time on M-Bias! Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of Edited by Quinn Rose:
info_outline Thinking about Targeted Learning | Season 4 Episode 9Casual Inference
Lucy D'Agostino McGowan and Ellie Murray chat about ENAR 2023 and Targeted Learning! Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of Edited by Quinn Rose:
info_outline Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8Casual Inference
Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Viktoria Gastens! Follow along on Twitter: The American Journal of Epidemiology: Viktoria: Viktoria's Lab: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of Edited by Quinn Rose:
info_outline Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7Casual Inference
Lucy D'Agostino McGowan and Ellie Murray chat about confounding! ✍️ Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of Edited by Quinn Rose:
info_outline Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6Casual Inference
Lucy D'Agostino McGowan and Ellie Murray chat about randomized controlled trials, thinking about efficacy vs effectiveness and saftey vs safetiness. ✍️ Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy: 🎶 Our intro/outro music is courtesy of Edited by Quinn Rose:
info_outlineIn this episode Lucy D'Agostino McGowan and Ellie Murray chat with Hilary Parker about design thinking for data analysis, the Dunning-Kruger effect, and the potential data behind baby Yoda.
Follow along on Twitter:
- Hilary: @hspter
- The American Journal of Epidemiology: @AmJEpi
- Ellie: @EpiEllie
- Lucy: @LucyStats
🎶 Our intro/outro music is courtesy of Joseph McDade.