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Comparing odds ratios measuring improvement or deterioration across repeated exposure or treatment sessions
Author(s) -
Ohman Strickland Pamela A.,
Lu ShouEn
Publication year - 2007
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.2937
Subject(s) - odds , generalized estimating equation , inference , odds ratio , statistics , baseline (sea) , estimating equations , random effects model , econometrics , maximum likelihood , computer science , mathematics , medicine , meta analysis , logistic regression , artificial intelligence , geology , oceanography
Abstract Unbiased estimating equations are used to estimate and compare the odds ratios representing the odds of heightened anxiety following acute exposures relative to baseline in a cross‐over study examining indoor air contaminants. Although estimating equations are used in the creation of the estimates and standard errors, inference is conditional on subject. The proposed method produces estimates that are less biased and computationally simpler than pseudo‐likelihood. In addition, specification of the form of the random‐effects distributions is not required. Copyright © 2007 John Wiley & Sons, Ltd.