Eric Daza | Important Ideas in Causal Inference
YouTube: https://youtu.be/K5nsSMJVIT0
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
David Dunson | Advancing Statistical Science | Philosophy of Data Science
Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks
Jason Costello | Data Science vs Software, Academia vs Industry
Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science
Edward McFowland III | Anomalous Pattern Detection & Model Building
Data Science Job Search | Advice + Q&A
Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
Kristin Morgan | The Data Science of Sports Injury
Michael McRoberts | Football Analytics and Data-Driven Decisions
Andrew Gelman & Megan Higgs | Statistics’ Role in Science and Pseudoscience
Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science
Science vs Pseudoscience | Neil Manson | Philosophy of Data Science
Science vs Pseudoscience | Dien Ho | Philosophy of Data Science
New Science vs Pseudoscience Series (+ Renaming the Podcast)
Environmental Data Science | Career Q&A
Data Science Career Q&A for Undergrads
Philosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton
Irina Gaynanova | Replicating Clinical Metrics & Innovating New Methods
Karel Moons | Validating Medical Predictive Models | Philosophy of Data Science
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