Multiple test procedures for dose finding

被引:110
作者
Tamhane, AC
Hochberg, Y
Dunnett, CW
机构
[1] TEL AVIV UNIV, DEPT STAT, IL-69978 RAMAT AVIV, ISRAEL
[2] MCMASTER UNIV, DEPT MATH & STAT, HAMILTON, ON L8S 4K1, CANADA
关键词
dose-response function; familywise error rate; Monte Carlo simulations; multiple comparison procedures; multivariate t-distribution; stepwise testing procedures;
D O I
10.2307/2533141
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The problem of identifying the lowest dose level for which the mean response differs from that at the zero dose level is considered. A general framework for stepwise testing procedures that use contrasts among the dose level means is proposed. Using this framework, several new procedures are derived. These and some existing procedures, including that of Williams (1971, Biometrics 27, 103-117; 1972, Biometrics 28, 519-531), are compared analytically and by an extensive simulation study for the normal theory balanced one-way layout case. It is pointed out that the procedures based on the so-called step and basin contrasts proposed by Ruberg (1989, Journal of American Statistical Association 84, 816-822) have excessively high type I familywise error rates (FWEs) and, hence, they should not be used. Some findings of the simulation study are as follows: For monotone dose mean configurations, Williams' procedure and two step-down test procedures based on Helmert and linear contrasts offer the best performance. For nonmonotone dose mean configurations, the performance of Williams' procedure does degrade somewhat, but the other two procedures are still the best. For more complex designs, a simple step-down test procedure that uses any ct-level tests (not necessarily t-tests) to compare each dose level with the zero dose level controls the FWE and is the only alternative available, but its power is rather low, especially under nommonotone configurations. Step-up procedures are generally dominated by step-down procedures when the same contrasts are used although the differences are not great.
引用
收藏
页码:21 / 37
页数:17
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