Introduction

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 mention 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 bones, cleaning up after the party so your parents don't find out, arm strength, the regression whisperer, what we giveth we taketh away, and sultry voices.

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