Best Subsets Logistic Regression
- 1 December 1989
- journal article
- research article
- Published by JSTOR in Biometrics
- Vol. 45 (4) , 1265-1270
- https://doi.org/10.2307/2531779
Abstract
Selection of a subset of meaningful covariates for a statistical model is an important and often time-consuming task in model building. Lawless and Singhal (1978, Biometrics 34, 318-327) proposed a method for best subsets selection for nonnormal models. We develop a method for logistic regression that may be performed with any best subsets linear regression program.This publication has 2 references indexed in Scilit:
- ISMOD: an all-subsets regression program for generalized linear models. II. Program guide and examplesComputer Methods and Programs in Biomedicine, 1987
- ISMOD: an all-subsets regression program for generalized linear models. I. Statistical and computational backgroundComputer Methods and Programs in Biomedicine, 1987