6533b86efe1ef96bd12cca9e
RESEARCH PRODUCT
Subject-specific odds ratios in binomial GLMMs with continuous response
Vito M. R. MuggeoGianfranco LovisonMariangela Sciandrasubject
Statistics and ProbabilityGeneral linear modelProper linear modelDichotomizingBinomial regressionLinear modelLogistic regressionOdds ratioEfficiencyRandom effects modelLogistic regressionGeneralized linear mixed modelRandom effectStatisticsEconometricsDiagnostic odds ratioStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaMathematicsdescription
In a regression context, the dichotomization of a continuous outcome variable is often motivated by the need to express results in terms of the odds ratio, as a measure of association between the response and one or more risk factors. Starting from the recent work of Moser and Coombs (Odds ratios for a continuous outcome variable without dichotomizing, Statistics in Medicine, 2004, 23, 1843-1860), in this article we explore in a mixed model framework the possibility of obtaining odds ratio estimates from a regression linear model without the need of dichotomizing the response variable. It is shown that the odds ratio estimators derived from a linear mixed model outperform those from a binomial generalized linear mixed model, especially when the data exhibit high levels of heterogeneity.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2007-07-06 |