Advertisement

Assessing Goodness of Fit for Logistic Regression

  • David G. Kleinbaum
  • Mitchel Klein
Chapter
Part of the Statistics for Biology and Health book series (SBH)

Abstract

Regression diagnostics are techniques for the detection and assessment of potential problems resulting from a fitted regression model that might either support, compromise, or negate the assumptions made about the regression model and/or the conclusions drawn from the analysis of one’s data.

Keywords

Logistic Regression Saturated Model Covariate Pattern Deviance Statistic Data Layout 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaUSA

Personalised recommendations