Title

Tree-based model checking for logistic regression

Authors

Authors

X. G. Su

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Stat. Med.

Keywords

BIC; logistic regression; model checking; regression trees; GOODNESS; Mathematical & Computational Biology; Public, Environmental &; Occupational Health; Medical Informatics; Medicine, Research &; Experimental; Statistics & Probability

Abstract

A tree procedure is proposed to check the adequacy of a fitted logistic regression model. The proposed method not only makes natural assessment for the logistic model, but also provides clues to amend its lack-of-fit. The resulting tree-augmented logistic model facilitates a refined model with meaningful interpretation. We demonstrate its use via simulation studies and an application to the Pima Indians diabetes data. Copyright (c) 2006 John Wiley & Sons, Ltd.

Journal Title

Statistics in Medicine

Volume

26

Issue/Number

10

Publication Date

1-1-2007

Document Type

Article

DOI Link

http://dx.doi.org/10.1002/sim.2702

Language

English

First Page

2154

Last Page

2169

WOS Identifier

WOS:000245965200002

ISSN

0277-6715

Recommended Citation

"Tree-based model checking for logistic regression" (2007). Faculty Bibliography 2000s. 7690.
https://stars.library.ucf.edu/facultybib2000/7690