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 ...

Get Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, 3rd Edition now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.