Statistical Primer: Checking Model Assumptions With Regression Diagnostics

Hickey and colleagues discuss the assumptions that underlie regression models, and they detail approaches to identifying deviations from these assumptions. They illustrate several points using linear regression as the basis but also discuss logistic regression and Cox regression models. The authors present both formal statistical tests and graphical diagnostics that should be used for assessing model assumptions.