In this week’s episode Greg and Patrick explore the incredibly cool possibilities offered by the time-varying effects model as a non-parametric alternative to the more restrictive time-varying covariate model. Along the way we also discuss North Dakota, Cal Ripken Jr., pre-gaming, not trying to be funny, left lane guy, Walker Texas Ranger, smelling toast, Bob […]
S7E13 Time-Varying Effect Models Read More »
In this week’s episode, the first of Season 6, Greg and Patrick visit with Dr. Ethan McCormick, an Assistant Professor of Educational Statistics and Data Science in the School of Education at the University of Delaware. After catching up on Ethan’s international adventures they discuss his recent work on using growth factors as predictors of
S6E01 Growth as a Predictor? Back to School with Ethan McCormick Read More »
In this week’s episode Greg and Patrick take advantage of a recent expiration of a statute of limitations that legally allows them to talk about the multilevel model: what it is, when we might use it, and extremely cool extensions that it allows. Along the way they also discuss hostile federal judges, McNeish, airing of
S5E05 Multilevel Models Unleashed Read More »
In honor of April Fool’s Day, this week’s episode is about being fooled, specifically quantitative things that can fool you, accompanied by some classic songs about being fooled. Along the way, Greg and Patrick also discuss ukus, the spaghetti harvest, sucker!, meet the new boss, traditions of doing things wrong, naked garbage bag poker, old
S4E22 April Fools! The Quantitative Things That Fool Us Read More »
In today’s episode Greg and Patrick talk about that sweet spot between panel designs and time series designs, intensive longitudinal data, both the logistical and analytical challenges but more importantly its tremendous potential. Along the way they also discuss camp fire face-plants, fear of horses, your spare eyelid, polishing your Nobel Prize, ripples in a pond,
S4E09 Intensive Longitudinal Data: Be Careful What You Wish For Read More »
