ON THE DESIGN AND ANALYSIS OF RANDOMIZED CLINICAL-TRIALS WITH MULTIPLE END-POINTS

被引:71
作者
TANG, DI
GELLER, NL
POCOCK, SJ
机构
[1] NHLBI,BIOSTAT RES BRANCH,FED BLDG,ROOM 2A11,7550 WISCONSIN AVE,BETHESDA,MD 20892
[2] NATHAN S KLINE INST PSYCHIAT RES,DIV STAT SCI & EPIDEMIOL,ORANGEBURG,NY 10962
[3] UNIV LONDON LONDON SCH HYG & TROP MED,MED STAT UNIT,LONDON WC1E 7HT,ENGLAND
关键词
CLINICAL TRIAL DESIGN AND ANALYSIS; GROUP SEQUENTIAL TRIALS; MULTIPLE HYPOTHESIS TESTING; OBRIENS STATISTIC; REPEATED SIGNIFICANCE TESTS;
D O I
10.2307/2532599
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper considers some methods for reducing the number of significance tests undertaken when analyzing and reporting results of clinical trials. Emphasis is placed on designing and analyzing clinical trials to examine a composite hypothesis concerning multiple endpoints and combining this multiple endpoint methodology with group sequential methodology. Four methods for composite hypotheses are considered: an ordinary least squares and a generalized least squares approach both due to O'Brien (1984, Biometrics 40, 1079-1087), a new modification of these, and an approximate likelihood ratio test, due to Tang, Gnecco, and Geller (1989, Biometrika 76, 577-583). These are extended for group sequential use. In particular, simulation is used to generate critical values and sequences of nominal significance levels for the approximate likelihood ratio test, which is not normally distributed. An example is given and the relative merits of the suggested approaches are discussed.
引用
收藏
页码:23 / 30
页数:8
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