Correction of the P-value after multiple coding of an explanatory variable in logistic regression

Benoit Liquet*, Daniel Commenges

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

We propose a method and a program to determine a significance level for a series of codings of an explanatory variable in logistic regression. Dichotomous and Box-Cox transformations are considered. Three methods of correcting the significance level are studied: the Bonferroni method; Efron's method, which uses the correlation between successive tests, and the exact calculation by numerical integration using all correlations. A simulation study has led to a strategy for the choice and number of the different codings of the variable. This method is illustrated using the data of a study of the relation between cholesterol and dementia.

Original languageEnglish
Pages (from-to)2815-2826
Number of pages12
JournalStatistics in Medicine
Volume20
Issue number19
DOIs
Publication statusPublished - 15 Oct 2001
Externally publishedYes

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