Targeted Learning with Mar van der Laan | Season 5 Episode 2
Casual Inference · Lucy D'Agostino McGowan and Ellie Murray
Audio is streamed directly from the publisher (anchor.fm) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
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
-
Handbook on the TLverse (Targeted Learning in R): https://ctml.berkeley.edu/publications/targeted-learning-handbook-causal-machine-learning-and-inference-tlverse-r-software
- Mark on twitter: @mark_vdlaan
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 Cameron Bopp