title: Summarizing the goodness of fit of generalized linear models for longitudinal data.
abstract: This paper extends four goodness-of-fit measures of a generalized linear model (GLM) to random effects and marginal models for longitudinal data. The four measures are the proportional reduction in entropy measure, the proportional reduction in deviance measure, the concordance correlation coefficient and the concordance index. The extended measures satisfy the basic requirements for measures of association. Two examples illustrate their use in model selection.
authors.affiliation: Wake Forest University School of Medicine, Department of Public Health Sciences, Medical Center Boulevard, Winston-Salem, NC 27157-1051, USA. bzheng@wfubmc.edu
authors.forename: B
authors.initials: B
authors.lastname: Zheng
mesh_terms: D000293:Adolescent; D000367:Age Factors; D002648:Child; D019277:Entropy; D005260:Female; D006128:Growth / Q000502:physiology; D006801:Humans; D016014:Linear Models; D008137:Longitudinal Studies; D008297:Male; D008954:Models, Biological; D015337:Multicenter Studies as Topic; D016032:Randomized Controlled Trials as Topic; D012140:Respiratory Tract Diseases / Q000628:therapy; D012737:Sex Factors