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
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
It Depends with Sander Greenland | Season 3 Episode 12
The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11
The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10
Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9
The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8
Asking questions that matter, getting answers that help | Season 3 Episode 7
A Casual Look at Causal Inference History | Season 3 Episode 6
Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5
Metascience with Noah Haber | Season 3 Episode 4
Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3
Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2
Coronavirus Rapid Tests Sensitivity, Specificity, Messaging, and Use Cases | Season 3 Episode 1
Our Michael Jordan Episode | Season 2 Episode 5
Health Policy with Julia Raifman | Season 2 Episode 4
Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3
The Most Ambitious Crossover | Season 2 Episode 2
Happy Anniversary to Us! | Season 2 Episode 1
Why Everyone is Excited About Causal Inference These Days with Roger Peng | Episode 18
Thinking About Schools Reopening From a Causal Perspective with Emily Oster | Episode 17
An Ode to Generalized Linear Models | Episode 16
Create your
podcast in
minutes
It is Free
Breaking Math Podcast
Opinionated History of Mathematics
The Universe Speaks in Numbers
Making Number Sense Make Sense: A Math Podcast for Early Elementary Teachers
SOA Podcasts - Society of Actuaries