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 McDadeEdited by Cameron Bopp

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

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