Sequential monitoring of Randomization tests: Stratified Randomization

被引:5
|
作者
Zhang, Yanqiong
Rosenberger, William F.
Smythe, Robert T.
机构
[1] Merck & Co Inc, Rahway, NJ 07065 USA
[2] George Mason Univ, Dept Appl & Engn Stat, Fairfax, VA 22030 USA
[3] Oregon State Univ, Dept Stat, Corvallis, OR 97331 USA
关键词
information fraction; linear rank tests; permutation tests; permuted block design; stratified; block design; stratified urn design;
D O I
10.1111/j.1541-0420.2006.00735.x
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In many clinical trials, it is desirable to establish a sequential monitoring plan, whereby the test statistic is computed at an interim point or points in the trial and a decision is made whether to stop early due to evidence of treatment efficacy. In this article, we will set up a sequential monitoring plan for randomization-based inference under the permuted block design, stratified block design, and stratified urn design. We will also propose a definition of information fraction in these settings and discuss its calculation under these different designs.
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页码:865 / 872
页数:8
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