LOGTEST: Stata module to test significance of a predictor in logistic models

Mehmet Mehmetoglu ()
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Mehmet Mehmetoglu: Norwegian University of Science and Technology

Statistical Software Components from Boston College Department of Economics

Abstract: There exist a few ways (e.g. Wald test) of testing the statistical significance of a predictor in logistic models. The likelihood ratio (LR) test used for comparing two models is considered as a better approach (Menard 2002). It is about comparing two logistic regression models, one with the predictor (unrestricted) and one without the predictor (restricted) being tested.

Language: Stata
Requires: Stata version 13.1
Keywords: logistic regression; likelihood ratio; predictor (search for similar items in EconPapers)
Date: 2015-09-18
Note: This module should be installed from within Stata by typing "ssc install logtest". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/l/logtest.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/logtest.sthlp help file (text/plain)

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