Effects of categorization method, regression type, and variable distribution on the inflation of Type-I error rate when categorizing a confounding variable-Reference-Cited by-同舟云学术

Effects of categorization method, regression type, and variable distribution on the inflation of Type-I error rate when categorizing a confounding variable

Published:2014-12-11 Issue:6 Volume:34 Page:936-949
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Barnwell-Ménard Jean-Louis¹,Li Qing²,Cohen Alan A.²

Affiliation:

1. Department of Economics; University of Sherbrooke; Sherbrooke QC Canada

2. Department of Family Medicine; University of Sherbrooke; Sherbrooke QC Canada

Funder

Canadian Institutes of Health Research

National Science and Engineering Research Council

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference27 articles.

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4. Avoiding power loss associated with categorization and ordinal scores in dose-response and trend analysis;Greenland;Epidemiology,1995

5. Against quantiles: categorization of continuous variables in epidemiologic research, and its discontents;Bennette;BMC Medical Research Methodology,2012

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