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

被引:16
|
作者
Shan, Guogen [1 ]
Hutson, Alan D. [1 ]
Wilding, Gregory E. [1 ]
机构
[1] SUNY Buffalo, Dept Biostat, Buffalo, NY 14214 USA
关键词
clinical trials; exact tests; Jonckheere-Terpstra test; nonparametric; designs; II CLINICAL-TRIALS; NONPARAMETRIC-TESTS; TREND;
D O I
10.1002/pst.1499
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
In preclinical studies and clinical dose-ranging trials, the JonckheereTerpstra test is widely used in the assessment of doseresponse 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 (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:287 / 294
页数:8
相关论文
共 50 条
  • [21] Functional k-sample problem when data are density functions
    Delicado, Pedro
    COMPUTATIONAL STATISTICS, 2007, 22 (03) : 391 - 410
  • [22] Boundary problem in Simon's two-stage clinical trial designs
    Shan, Guogen
    Chen, John J.
    Ma, Changxing
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2017, 27 (01) : 25 - 33
  • [23] A NEW CLASS OF DISTRIBUTION FREE TESTS FOR THE K-SAMPLE SCALE PROBLEM FOR TESTING HOMOGENEITY AGAINST ORDERED ALTERNATIVES
    Shetty, I. D.
    Umarani, Mamata B.
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2010, 6 (01): : 269 - 279
  • [24] Kernel based method for the k-sample problem with functional data
    Balogoun, Armando S. K.
    Nkiet, Guy M.
    Ogouyandjou, Carlos
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 51 (17) : 5826 - 5849
  • [25] Functional k-sample problem when data are density functions
    Pedro Delicado
    Computational Statistics, 2007, 22 : 391 - 410
  • [26] ON EFFICIENT TWO-STAGE ADAPTIVE DESIGNS FOR CLINICAL TRIALS WITH SAMPLE SIZE ADJUSTMENT
    Liu, Qing
    Li, Gang
    Anderson, Keaven M.
    Lim, Pilar
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2012, 22 (04) : 617 - 640
  • [27] A note on the shape of sample size functions of optimal adaptive two-stage designs
    Pilz, Maximilian
    Kilian, Samuel
    Kieser, Meinhard
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 51 (06) : 1911 - 1918
  • [28] Multivariate permutation tests for the k-sample problem with clustered data
    Jörg Rahnenführer
    Computational Statistics, 2002, 17 : 165 - 184
  • [29] A NEW RANK TEST AGAINST ORDERED-ALTERNATIVES IN K-SAMPLE PROBLEMS
    LE, CT
    BIOMETRICAL JOURNAL, 1988, 30 (01) : 87 - 92
  • [30] RANK-TESTS FOR THE K-SAMPLE PROBLEM WITH RESTRICTED ALTERNATIVES
    SHIRAHATA, S
    COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS, 1980, 9 (10): : 1071 - 1086