In this week’s episode Patrick and Greg get to hang out with Noah Greifer from the Institute for Quantitative Social Sciences at Harvard University to delve into the fascinating world of propensity scores: what they are, how we obtain them, and how they can be thoughtfully used to strengthen our causal inferences. Along the way […]
S3E27: Propensity Scores — I Meant To Do That! Read More »
In this week’s episode, Greg and Patrick talk about information theory: what it is, where it comes from, how it works, and how it can be used to make comparative model inferences. Along the way we also mention Pennsylvania 6-5000, the time lady, the Nobel Prize for Awesomeness, juggling and unicycles, enigma, imaginary friends, lemon
S3E26: The 411 on Information Theory Read More »
In this week’s episode Greg and Patrick discuss the sometimes terrifying issue of fungible weights in multiple regression and structural equation modeling in which selecting a trivially worse criterion of fit can often lead to radical changes in the corresponding parameter estimates. Along the way they also discuss competitive family Wordle, disambiguation, inflammability, perpitty, being
S3E25: Fungible Parameter Estimates and Earthquake Waller Read More »
