Journal ArticleDOI
A response adaptive design for ordinal categorical responses.
Reads0
Chats0
TLDR
A two treatment response adaptive design is developed for phase III clinical trials with ordinal categorical treatment outcome using Goodman-Kruskal measure of association.Abstract:
A two treatment response adaptive design is developed for phase III clinical trials with ordinal categorical treatment outcome using Goodman-Kruskal measure of association. Properties of the proposed design are studied both empirically and theoretically and the acceptability is further illustrated using two real data-sets; one from a clinical trial with trauma patients and the other from a trial with patients having rheumatoid arthritis.read more
Citations
More filters
Journal ArticleDOI
A multi-treatment response adaptive design for ordinal categorical responses.
TL;DR: For practical implementation, the proposed response-adaptive randomization (RAR) is suggested, that is, update the allocation probabilities dynamically using the available allocation and response information to favor the treatment doing better.
Journal ArticleDOI
A response adaptive design for ordinal categorical responses weighing the cumulative odds ratios
TL;DR: In this paper, a two treatment response adaptive design for phase III clinical trial is proposed for ordinal categorical responses, which weighs the cumulative odds ratios suitably, and proposes a two-treatment response adaptive scheme.
Journal ArticleDOI
An optimal response adaptive design for multi-treatment clinical trials with ordinal categorical outcomes.
TL;DR: In clinical trials, fixed randomizations in a prefixed proportion (e.g. 1:1 or 2:1 for two treatment trials) may be adopted to allocate the entering patients among the competing treatments as mentioned in this paper.
Journal ArticleDOI
Multi-arm covariate adjusted response adaptive designs for ordinal outcome clinical trials
TL;DR: Covariate adjusted response adaptive designs with ordinal categorical responses for phase III clinical trial involving multiple treatments are developed in this paper , where stochastic ordering principle is used to order the treatments according to effectiveness and consequently allocation functions are developed by combining the cumulative odds ratios suitably.
Related Papers (5)
sanon : An R Package for Stratified Analysis with Nonparametric Covariable Adjustment
Atsushi Kawaguchi,Gary G. Koch +1 more