Playlist: Multiple Regression and Other Foundational Topics

S3E25: Fungible Parameter Estimates and Earthquake Waller

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 …

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S3E24: The Wright Stuff – The Beauty of Path Tracing Rules

In this week’s episode Greg and Patrick explore Sewall Wright’s path tracing rules as an alternative to covariance and matrix algebra, including how the rules work and the tremendous insights they can provide toward understanding a model. Along the way they also discuss the Unabomber, Crate and Barrel, grocery lane profiling, tedious as poop, throwing …

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S3E23: The Mättrix Part II: Using Matrices To Our Advantage

In this week’s episode Greg and Patrick continue their discussion from last week in the Mättrix Part deux in which we continue to explore the magic of matrices including estimation, eigenvalues and eigenvectors. Along the way they  also discuss flawed audio transcripts, 50 shades of Greg, drunkenly shoving a matrix, drug mules, things you need, …

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S3E22: The Mättrix Part 1: Defining & Manipulating Matrices

In this first of two episodes, Greg & Patrick lay the foundations of matrix algebra, mathematically and geometrically, and start connecting these important underlying ideas to statistics. Along the way, they also discuss STDs, the 110 to the 10 to the 405, mystics, skin bags of water, vector Victor, Tac flashlights on misty nights, remembering …

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S3E21: A Low-Resolution Discussion of Sampling Distributions

In this week’s episode Greg and Patrick discuss the critical distinction between sample distributions and sampling distributions and we explore all the different ways in which sampling distributions are foundational to how we conduct research. Along the way they also discuss Starbucks jazz, one item tests, hot pockets, delusions of grandeur, Tetris and Pong, drawing …

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S3E17: Logistic Regression: 2 Logit 2 Quit

Greg and Patrick explore the generalized linear model as a powerful framework for building regression models for binary and other discretely distributed dependent variables. Along the way they also discuss stealing property, statistical conspiracy theories, mic drops, coming uncorked, getting punched by biostatisticians, big logistic, tapping out, the Oakland Raiders, being 8.5 feet tall, sheep …

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S3E09: Semi-Partially Clarifying Measures of Association in Regression

Patrick and Greg answer a mailbag question about some foundational principles of regression and correlation, specifically the differences among correlation, standardized regression weights, semi-partial correlations, and partial correlations. They also check in with someone from Season 2: Amanda Montoya’s undergrad mentee, Kat. Along the way, they also mention: Ap Olo Gies, mocking by text, particle …

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