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Estimation following group sequential tests with repeated measurements data

✍ Scribed by Jae Won Lee; David L DeMets


Book ID
104306932
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
88 KB
Volume
32
Category
Article
ISSN
0167-9473

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✦ Synopsis


When the individual measurements are statistically independent, the maximum likelihood estimator of treatment e ect calculated at the end of a sequential procedure overestimates the underlying e ect. Lee and DeMets (1991. J. Amer. Statist. Assoc. 86, 757-762) proposed a group sequential method with repeated measurements based on the linear mixed e ects model. In this article, we investigate by simulation the properties of the maximum likelihood estimator following group sequential tests with repeated measurements data.


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