Simultaneous confidence intervals using ordinal effect measures for ordered categorical outcomes.
When outcomes are ordered categorical, a model using an ordinal effect size measure is a good alternative of the cumulative logit model to compare several independent group differences. We present a method of constructing simultaneous confidence intervals for the ordinal effect size measures, using the studentized range distribution with the score test statistic. A simulation study shows that the proposed method performs well in terms of coverage probability, and it seems better than the method using a Bonferroni correction for Wald-type statistics and methods that account for the dependencies among pairwise ordinal effect size measures using the multivariate normal distribution (or the multivariate t-distribution for small samples).
Ryu
Euijung
E
Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, U.S.A. ryu.euijung@mayo.edu
D000970:Antineoplastic Agents / Q000627:therapeutic use; D001699:Biometry / Q000379:methods*; D017326:Clinical Trials, Phase III as Topic / Q000379:methods; D015179:Colorectal Neoplasms / Q000188:drug therapy / Q000523:psychology; D003198:Computer Simulation; D016001:Confidence Intervals; D006801:Humans; D015233:Models, Statistical; D011788:Quality of Life / Q000523:psychology; D016032:Randomized Controlled Trials as Topic / Q000379:methods
D000970:Antineoplastic Agents