Data & Science with Glen Wright Colopy · 2022-07-11 · 1h 24m
Eric Daza | Important Ideas in Causal Inference YouTube: Andrew Gelman and Aki Vehtari wrote a paper titled, "What are the most important statistical ideas of the past 50 years?". The first idea in the list is "counterfactual causal inference". Eric Daza (Evidation Health) walks us through the main ideas of the Gelman & Vehtari paper, drawing examples from several fields, including medical & healthcare statistics. Topics 0:00 - Coming up...Correlation vs Causation 1:20 - Most important statistical ideas over the last 50 years 6:10 - Counterfactual Causal Inference 9:40 - Assumptions Change between Applied Domains 21:10 - Propensity Score Methods 25:15 - Transportability of Scientific Results 26:30 - People don't want generalizable results 32:00 - Generic Computation Algorithms 37:00 - Reweighting 43:57 - Matching Methods 58:20 - Medical Data is Higher Dimensional that we think. 1:00:15 - Is a Trial Population Representative? 1:10:35 - Causal Models in the Future 1:18:45 - Apostates Welcome 1:21:45 - Scientific Debate
Keith O’Rourke | The Logic of Statistics67 / 100Jack Fitzsimons | Evil Models: Hiding Malware in Neural NetworksScott Cunningham | Causal Inference (The Mixtape)Wenting Cheng & Weidong Zhang | Advances in Biotech/BiopharmaRuda Zhang | Gaussian Process Subspace Regression