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Sequential Monitoring of Randomization Tests: Stratified Randomization
Author(s) -
Zhang Yanqiong,
Rosenberger William F.,
Smythe Robert T.
Publication year - 2007
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2006.00735.x
Subject(s) - interim , randomization , sequential analysis , restricted randomization , computer science , interim analysis , statistic , inference , stratified sampling , fraction (chemistry) , statistics , test statistic , point estimation , data mining , clinical trial , statistical hypothesis testing , mathematics , artificial intelligence , medicine , chemistry , archaeology , pathology , organic chemistry , history
Summary 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.