Additional Modeling Strategy Issues

Abstract

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.