Literature DB >> 22408050

Two-stage k-sample designs for the ordered alternative problem.

Guogen Shan1, Alan D Hutson, Gregory E Wilding.   

Abstract

In preclinical studies and clinical dose-ranging trials, the Jonckheere-Terpstra test is widely used in the assessment of dose-response relationships. Hewett and Spurrier (1979) presented a two-stage analog of the test in the context of large sample sizes. In this paper, we propose an exact test based on Simon's minimax and optimal design criteria originally used in one-arm phase II designs based on binary endpoints. The convergence rate of the joint distribution of the first and second stage test statistics to the limiting distribution is studied, and design parameters are provided for a variety of assumed alternatives. The behavior of the test is also examined in the presence of ties, and the proposed designs are illustrated through application in the planning of a hypercholesterolemia clinical trial. The minimax and optimal two-stage procedures are shown to be preferable as compared with the one-stage procedure because of the associated reduction in expected sample size for given error constraints.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22408050     DOI: 10.1002/pst.1499

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  9 in total

1.  Balance confidence and falls in nondemented essential tremor patients: the role of cognition.

Authors:  Ashwini K Rao; Arthur Gilman; Elan D Louis
Journal:  Arch Phys Med Rehabil       Date:  2014-04-21       Impact factor: 3.966

2.  Two-stage optimal designs based on exact variance for a single-arm trial with survival endpoints.

Authors:  Guogen Shan
Journal:  J Biopharm Stat       Date:  2020-03-04       Impact factor: 1.051

3.  Randomized two-stage optimal design for interval-censored data.

Authors:  Guogen Shan
Journal:  J Biopharm Stat       Date:  2021-12-10       Impact factor: 1.503

4.  Boundary problem in Simon's two-stage clinical trial designs.

Authors:  Guogen Shan; John J Chen; Changxing Ma
Journal:  J Biopharm Stat       Date:  2016-02-16       Impact factor: 1.051

5.  Optimal adaptive two-stage designs for early phase II clinical trials.

Authors:  Guogen Shan; Gregory E Wilding; Alan D Hutson; Shawn Gerstenberger
Journal:  Stat Med       Date:  2015-11-03       Impact factor: 2.373

6.  A new powerful nonparametric rank test for ordered alternative problem.

Authors:  Guogen Shan; Daniel Young; Le Kang
Journal:  PLoS One       Date:  2014-11-18       Impact factor: 3.240

7.  Two-stage optimal designs with survival endpoint when the follow-up time is restricted.

Authors:  Guogen Shan; Hua Zhang
Journal:  BMC Med Res Methodol       Date:  2019-04-03       Impact factor: 4.615

8.  Accurate confidence intervals for risk difference in meta-analysis with rare events.

Authors:  Tao Jiang; Baixin Cao; Guogen Shan
Journal:  BMC Med Res Methodol       Date:  2020-04-30       Impact factor: 4.615

9.  Optimal two-stage designs based on restricted mean survival time for a single-arm study.

Authors:  Guogen Shan
Journal:  Contemp Clin Trials Commun       Date:  2021-01-23
  9 in total

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