title: Bivariate modeling of interobserver agreement coefficients.
abstract: Many studies of interobserver agreement yield outcome measures on more than one binary trait. For example, Becker et al. (Int. J. Psychiatry Med. 2002; 32(3):271-283) reported on a study of depression and anxiety as two outcome measures obtained on 173 patients evaluated by two screening instruments, the first using a Patient Health Questionnaire and the second employing a Structured Clinical Interview. In this case, although inferences on each trait separately are usually of main interest, a question that also arises is whether or not the level of interobserver agreement can be regarded as stable across the two traits. In this paper, we develop the required methodology and provide an illustrative example.
authors.affiliation: Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada.
authors.forename: Mohamed M
authors.initials: MM
authors.lastname: Shoukri
authors.forename: Allan
authors.initials: A
authors.lastname: Donner
mesh_terms: D006801:Humans; D007407:Interviews as Topic; D015233:Models, Statistical; D015588:Observer Variation; D011795:Surveys and Questionnaires