Casual Inference
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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.
Casual Inference
1w ago
Aaditya Ramdas is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and uncertainty quantification for machine learning (conformal prediction, calibration). His applied areas of interest include neuroscience, genetics and auditing (real-estate, finance, elections). Aaditya received the IMS Peter Gavin Hall Early Career Prize, the COPSS Emerging Leader Award, the Bernoulli New Researcher Award ..read more
Casual Inference
3w ago
Ingrid is a doctoral student in Epidemiology at the Dalla Lana School of Public Health at the University of Toronto.
Winning cookie recipe
Follow along on Twitter:
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats
? Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp ..read more
Casual Inference
1M ago
Nick Huntington-Klein is an Assistant Professor, Department of Economics, Albers School of Business and Economics, Seattle University. His research focus is econometrics, causal inference, and higher education policy. He’s also the author of an introductory causal inference textbook called The Effect and the creator of a number of Stata packages for implementing causal effect estimation procedures.
Nick’s book, online version: https://theeffectbook.net/
The Paper of How: https://onlinelibrary.wiley.com/share/W2FMEESMMSJMWDEZYY8Y?target=10.1111/obes.12598
Nick’s twitter & BlueSky: @ni ..read more
Casual Inference
1M ago
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: https://link.springer.com/article/10.1007/s40471-024-00346-2
Immortal time in pregnancy: https://pubmed.ncbi.nlm.nih.gov/36805380/
Follow along on Twitter:
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats
? Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp ..read more
Casual Inference
2M ago
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: https://ctml.berkeley.edu/
A causal roadmap: https://pubmed.ncbi.nlm.nih.gov/37900353/
Short course on causal learning: https://ctml.berkeley.edu/introduction-causal-inference  ..read more
Casual Inference
2M ago
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). https://doi.org/10.1186/s12919-023-00285-8
Follow along on Twitter:
The America ..read more
Casual Inference
7M ago
We are re-releasing an episode from 2021 in remembrance of Ralph D'Agostino, Sr.
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 ed ..read more
Casual Inference
10M ago
Ellie and Lucy chat with Dr. Cat Hicks, VP of Research Insights and Director of Developer Success Lab at Pluralsight Flow, about evidence science.
Follow along on Twitter:
Cat: @grimalkina
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats
? Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com ..read more
Casual Inference
1y ago
Lucy D'Agostino McGowan and Ellie Murray chat about M-Bias!
Follow along on Twitter:
The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats
? Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com ..read more
Casual Inference
1y ago
Lucy D'Agostino McGowan and Ellie Murray chat with #EpiCookieChallenge winner, Viktoria Gastens!
Follow along on Twitter:
The American Journal of Epidemiology: @AmJEpi
Viktoria: @VikiGastens
Viktoria's Lab: @PopHealthLabCH
Ellie: @EpiEllie
Lucy: @LucyStats
? Our intro/outro music is courtesy of Joseph McDade Edited by Quinn Rose: aspiringrobot.com ..read more