Doing Bayesian Data Analysis, 2nd Edition

Chapter 21

Dichotomous Predicted Variable

Contents

21.1 Multiple Metric Predictors   622

21.1.1 The model and implementation in JAGS   622

21.1.2 Example: Height, weight, and gender   626

21.2 Interpreting the Regression Coefficients   629

21.2.1 Log odds   629

21.2.2 When there are few 1's or 0's in the data   631

21.2.3 Correlated predictors   632

21.2.4 Interaction of metric predictors   633

21.3 Robust Logistic Regression   635

21.4 Nominal Predictors   636

21.4.1 Single group   638

21.4.2 Multiple groups   641

21.4.2.1 Example: Baseball again   641

21.4.2.2 The model   642

21.4.2.3 Results   644

21.5 Exercises   646

Fortune and Favor make fickle decrees, it's

Heads or it's tails with no middle degrees.

Flippant commandments decreed by ...