Additional Modeling Strategy Issues

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


In this chapter, we consider five issues on modeling Strategy, which were not covered in the previous two chapters on this topic: 1. Modeling strategy when there are two or more exposure variables 2. Screening variables when modeling 3. Collinearity diagnostics 4. Influential observations 5. Multiple testing Each of these issues represent important features of any regression analysis that typically require attention when determining a “best” model, although our specific focus concerns a binary logistic regression model.


Initial Model Modeling Strategy Product Term Exposure Variable Estimate Regression Coefficient 
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.


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