ADAPTIVE SEQUENTIAL TESTING FOR MULTIPLE COMPARISONS

被引：7

作者：

Gao, Ping ^{[1
]}

Liu, Lingyun ^{[2
]}

Mehta, Cyrus ^{[2
,3
]}

机构：

[1] The Medicines Co, Biostat, Parsippany, NJ 07054 USA

[2] Cytel Inc, Cambridge, MA USA

[3] Harvard Univ, Sch Publ Hlth, Boston, MA 02115 USA

来源：

JOURNAL OF BIOPHARMACEUTICAL STATISTICS | 2014年 / 24卷 / 05期

关键词：

Adaptive sequential testing; Exact type I error control; Markov process; Multiple comparisons; Transition density function; III CLINICAL-TRIALS; TREATMENT SELECTION; DESIGNS; PHASE-2;

D O I：

10.1080/10543406.2014.931409

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

We propose a Markov process theory-based adaptive sequential testing procedure for multiple comparisons. The procedure can be used for confirmative trials involving multi-comparisons, including dose selection or population enrichment. Dose or subpopulation selection and sample size modification can be made at any interim analysis. Type I error control is exact.

引用

页码：1035 / 1058

页数：24

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