Open Access
September, 1984 A Geometric Approach to Nonlinear Regression Diagnostics with Applications to matched Case-Control Studies
Suresh H. Moolgavkar, Edward D. Lustbader, David J. Venzon
Ann. Statist. 12(3): 816-826 (September, 1984). DOI: 10.1214/aos/1176346704

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.

Citation

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Suresh H. Moolgavkar. Edward D. Lustbader. David J. Venzon. "A Geometric Approach to Nonlinear Regression Diagnostics with Applications to matched Case-Control Studies." Ann. Statist. 12 (3) 816 - 826, September, 1984. https://doi.org/10.1214/aos/1176346704

Information

Published: September, 1984
First available in Project Euclid: 12 April 2007

zbMATH: 0553.62060
MathSciNet: MR751276
Digital Object Identifier: 10.1214/aos/1176346704

Subjects:
Primary: 62F99
Secondary: 62P10

Keywords: Case-control studies , diagnostics , hat matrix , influential observations , logistic regression

Rights: Copyright © 1984 Institute of Mathematical Statistics

Vol.12 • No. 3 • September, 1984
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