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.
Publié le : 1984-09-14
Classification:
Case-control studies,
diagnostics,
hat matrix,
influential observations,
logistic regression,
62F99,
62P10
@article{1176346704,
author = {Moolgavkar, Suresh H. and Lustbader, Edward D. and Venzon, David J.},
title = {A Geometric Approach to Nonlinear Regression Diagnostics with Applications to matched Case-Control Studies},
journal = {Ann. Statist.},
volume = {12},
number = {1},
year = {1984},
pages = { 816-826},
language = {en},
url = {http://dml.mathdoc.fr/item/1176346704}
}
Moolgavkar, Suresh H.; Lustbader, Edward D.; Venzon, David J. A Geometric Approach to Nonlinear Regression Diagnostics with Applications to matched Case-Control Studies. Ann. Statist., Tome 12 (1984) no. 1, pp. 816-826. http://gdmltest.u-ga.fr/item/1176346704/