In this week’s episode Greg and Patrick talk about both structural equation modeling and directed acyclic graphs, or DAGs, where they are similar and where they are different, and try to provide a Rosetta Stone for translating back and forth between the two. Along the way they also discuss pop, garage sales, thinking about excessive […]
S5E23 A Rosetta Stone for DAGs and SEM Read More »
In this week’s episode Greg and Patrick talk all about Simpson’s Paradox: what it is, examples of where it occurs in real life, and why we might not really need to think about it as a paradox at all. Along the way they also discuss Apple Vision, The Simpsons predicting the future, sitting too close
S5E16 Simpson’s Paradox Read More »
In this week’s episode Greg and Patrick talk about confidence intervals: symmetric and asymmetric, asymptotic and bootstrapped, how to interpret them, and how not to interpret them. Along they way they also discuss tire pressure gauge mysteries, conference travel reimbursement, phases of the moon, gyroscopic effects, baseball walk-of-shame, why people hate us, settling out of
S5E13 The Confidence Interval’s Tale Read More »
In this week’s episode Greg and Patrick have great fun talking about meta-analysis with Paschal Sheeran, a social psychologist from the University of North Carolina at Chapel Hill. He describes what meta-analysis is, what it offers, and how to apply it in your own work. Along the way they also discuss taking off into the
S5E12 Meta-Analysis With Paschal Sheeran Read More »
In this week’s episode, the first for Season 5, Greg and Patrick explore the very cool world of receiver operating characteristic, or ROC, curves: what they are, how they work, and why we can give partial thanks to Winston Churchill for their existence. Along the way they also discuss advent calendars, lasagna for 8, honey
S5E01 Receiver Operating Characteristic (ROC) Curves Read More »
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 today’s episode, Patrick and Greg use the context of COVID rapid tests to discuss issues of sensitivity, specificity, positive and negative predicted values, and the generally questionable utility of test accuracy information. Along the way they also discuss escape rooms, C4, Embassy Suites, palak paneer, 93% accurate, astragali, SAT prep courses, the volume of
S3E16: Your COVID Rapid Test Result: Are You Positive You’re Positive? Read More »
Patrick and Greg discuss the often forgotten importance of observation and exploration for the purpose of suggesting patterns and forming hypotheses, which can later be refined and rigorously tested within the framework of our well-developed confirmatory machinery. Along the they way they also discuss Orlando road trips, our inner child, crappy glue, melted chocolate, leaning
S3E10: Observation and Exploration Read More »
In today’s episode Patrick and Greg talk about statistical degrees of freedom: what they represent, how they are computed, and the importance they play in daily life. Along the way they also mention color blindness, the Skinnylicious menu, Kevin Bacon, Elmo’s Diner, the flatties, Amtrak, drinking Guinness at room temperature, sudoku, courage, paying the reaper,
S3E08: Statistical Degrees of Freedom…An Intimate Stranger Read More »
In this episode, Greg and Patrick discuss the many places where researchers make decisions throughout the research process, and they weigh the pros and cons of those researchers having such decision-making freedom. Along the way, they also mention Lucky Charms, frozen waffles for dinner, the fifth down, forking paths, Dirty Deeds Done Dirt Cheap, sharks
S3E07: In Defense of Researcher Degrees of Freedom Read More »
