Important Special Cases of the Logistic Model

Part of the Statistics for Biology and Health book series (SBH)


In this chapter, several important special cases of the logistic model involving a single (0, 1) exposure variable are considered with their corresponding odds ratio expressions. In particular, focus is on defining the independent variables that go into the model and on computing the odds ratio for each special case. Models that account for the potential confounding effects and potential interaction effects of covariates are emphasized.


Logistic Model Product Term Exposure Variable Estimate Odds Ratio Important Special Case 


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

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

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