title: Tree-based model checking for logistic regression.
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.
authors.affiliation: Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL 32816, USA. xiaosu@mail.ucf.edu
authors.forename: Xiaogang
authors.initials: X
authors.lastname: Su
mesh_terms: D035843:Biomedical Research / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D003920:Diabetes Mellitus; D006801:Humans; D007198:Indians, North American; D016015:Logistic Models; D014481:United States