Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Introduction
00:00 • 2min
A Woodworking Magazine Review - Two Short Make Along
02:26 • 2min
You're Going to Go Back and Fix Something Up
04:32 • 2min
A Conversation About Propensity Scores - Noah Grier
06:28 • 2min
I Just Found Your Rejection Letter for Maryland
08:13 • 2min
Iot, Know What I Didn't Use R but I'm Just a Passion
10:40 • 5min
The Biggest Critique With Causal Inference Methods
15:52 • 2min
Propensity Scores Are One Implementation of a Class of Methods to Adjust for Confounding
18:00 • 2min
The Problems With Ankova
20:03 • 1min
How to Correctly Adjust Propensity Scores in a Randomized Trial
21:26 • 5min
How to Predict the Propensity Score
26:09 • 4min
The Propensity Score, the Predicted Probability of Treatment
29:55 • 2min
How Much Fuzz Is There in Propensity Scores?
31:33 • 5min
How to Estimate the Treatment Effect?
36:53 • 3min
Propensity Score Matching and Waiting Are the Final Methods
39:32 • 4min
Doubly Robust Estimators Are a Double Propensity Score Estimator
43:38 • 2min
The Problem of Multiple Coveriats in Machine Learning Models
45:11 • 2min
What Do I Like About Propensy Score Methods?
46:59 • 5min
The R Packages for Propensi Score Matching
52:28 • 2min
Quantitude Pod Podcast - What Keeps You Up at Night?
54:36 • 3min