title: Interval estimation for individual categories in cumulative logit models.
abstract: We derive and compute confidence intervals for probabilities of categories for ordinal responses in cumulative logit link models using frequentist, Bayesian, and bootstrap approaches. The three approaches are evaluated by their coverage probabilities and are illustrated for longitudinal assessment of graded heart valve prosthesis regurgitation following aortic valve replacement.
authors.affiliation: Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, USA. rajeswj@ccf.org
authors.forename: Jeevanantham
authors.initials: J
authors.lastname: Rajeswaran
authors.forename: Eugene H
authors.initials: EH
authors.lastname: Blackstone
mesh_terms: D001021:Aortic Valve / Q000601:surgery; D001022:Aortic Valve Insufficiency / Q000503:physiopathology; D001699:Biometry / Q000379:methods*; D016001:Confidence Intervals; D006350:Heart Valve Prosthesis / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D014481:United States