S3E27: Propensity Scores -- I Meant To Do That!
Listen now
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 we also mention Popular Woodworking, fixing things on the back end, hiding your own Easter eggs, 18 hour warnings, easy undergrad majors, Meyers-Briggs career predictions, picking an ideal advisor, SASholes, demyelination, hearing asterisks, being an ANCOVist, the 11th Commandment, what keeps you up at night, answering the question you want to, and it's all BS. 
More Episodes
In this week's episode Greg and Patrick talk about partial least squares, a technique that resembles structural equation modeling but with a lot of flexibility, including but not limited to its ability to accommodate both reflective and formative constructs. Along the way they also mention dark...
Published 10/04/22
In this week's episode Patrick and Greg explore the often neglected method of two-stage least squares; they take a walk down memory lane to explore its origins and then drag it kicking and screaming into the 21st century for much promising use within the latent variable model. Along the way they...
Published 09/27/22
Published 09/27/22