Interval estimation for individual categories in cumulative logit models.
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.
Rajeswaran
Jeevanantham
J
Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, USA. rajeswj@ccf.org
Blackstone
Eugene H
EH
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