Chapter 20. Logistic Regression
20.1 Introduction 361
20.2 Synopsis 362
20.3 Examples 366
20.4 Details & Notes 386
20.1 Introduction
Logistic regression analysis is a statistical modeling method for analyzing categorical response data while accommodating adjustments for one or more explanatory variables or 'covariates'. This method is analogous to linear regression analysis for continuous normally distributed responses (Chapter 10), or to ANCOVA (Chapter 11), which is useful for comparing two or more groups while adjusting for various background factors (covariates). Although all of these methods include covariate adjustments, linear regression and ANCOVA analyze means of numeric response measures; logistic regression analyzes proportions based on ...
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