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
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The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats
🎶 Our intro/outro music is courtesy of Joseph McDade
Edited by Cameron Bopp
Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5
Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4
Immortal Time Bias | Season 5 Episode 3
Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1
Remembering Ralph B. D'Agostino, Sr.
Evidence Science with Cat Hicks | Season 4 Episode 11
M-Bias: Much Ado About Nothing? | Season 4 Episode 10
Thinking about Targeted Learning | Season 4 Episode 9
Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8
Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7
Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6
The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5
Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4
Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3
Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2
Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1
What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13
It Depends with Sander Greenland | Season 3 Episode 12
The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
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