Correction of the  P ‐value after multiple coding of an explanatory variable in logistic regression | Zendy

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

Author(s) -

Liquet Benoit,

Commenges Daniel

Publication year - 2001

Publication title -

statistics in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.996

H-Index - 183

eISSN - 1097-0258

pISSN - 0277-6715

DOI - 10.1002/sim.916

Subject(s) - bonferroni correction , logistic regression , statistics , regression analysis , variable (mathematics) , mathematics , linear regression , coding (social sciences) , econometrics , computer science , mathematical analysis

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. Copyright © 2001 John Wiley & Sons, Ltd.

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