Multiple comparisons of treatments with skewed ordinal responses
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AbstractIn clinical studies, treatment responses are frequently measured with an ordinal scale. To compare the efficacy of these treatments, one could employ either the proportional odds model or the latent normal model. However, these two models are inadequate for comparing treatments with highly skewed ordinal responses, due to the possibility of yielding an inflated type I error rate. To overcome this problem, the latent Weibull model has been suggested for investigating the efficacy difference between two treatments. For more general applications, this model is extended to include clinical trials with more than two treatments. Two testing procedures are derived: one for multiple comparisons with a control and the other for pairwise treatment comparisons. The testing procedures are also demonstrated with two clinical examples. (C) 2016 Elsevier B.V. All rights reserved.
All Author(s) ListLu TY, Poon WY, Cheung SH
Journal nameComputational Statistics and Data Analysis
Year2016
Month12
Day1
Volume Number104
PublisherELSEVIER SCIENCE BV
Pages223 - 232
ISSN0167-9473
eISSN1872-7352
LanguagesEnglish-United Kingdom
KeywordsFamily-wise error rate; Latent Weibull method; Multiple comparisons; Ordinal responses; Skewness
Web of Science Subject CategoriesComputer Science; Computer Science, Interdisciplinary Applications; Mathematics; Statistics & Probability

Last updated on 2021-25-01 at 02:16