Title
Tree-Based Model Checking For Logistic Regression
Keywords
BIC; Logistic regression; Model checking; Regression trees
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 © 2006 John Wiley & Sons, Ltd.
Publication Date
5-10-2007
Publication Title
Statistics in Medicine
Volume
26
Issue
10
Number of Pages
2154-2169
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1002/sim.2702
Copyright Status
Unknown
Socpus ID
34247584539 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/34247584539
STARS Citation
Su, Xiaogang, "Tree-Based Model Checking For Logistic Regression" (2007). Scopus Export 2000s. 6593.
https://stars.library.ucf.edu/scopus2000/6593