A Geometric Approach to Nonlinear Regression Diagnostics with Applications to matched Case-Control Studies

Abstract

A geometric approach is described for the detection of influential points in nonlinear regression. This work extends and gives geometric interpretation to recent results in logistic regression diagnostics. An application of this approach to matched case-control studies is discussed.