Targeted Learning with Mar van der Laan | Season 5 Episode 2

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: ctml.berkeley.edu

• A causal roadmap: pubmed.ncbi.nlm.nih.gov/37900353

• Short course on causal learning: ctml.berkeley.edu/introduction-causal-inference

• Handbook on the TLverse (Targeted Learning in R): ctml.berkeley.edu/publications/targeted-learni…

• 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 (cambopp.com)