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Group sequential analyses for the mean function of a repeated measure process
Author(s) -
Hu X. Joan,
Lagakos Stephen W.
Publication year - 1999
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19990915/30)18:17/18<2287::aid-sim255>3.0.co;2-d
Subject(s) - measure (data warehouse) , statistics , function (biology) , group (periodic table) , mathematics , repeated measures design , computer science , data mining , biology , chemistry , evolutionary biology , organic chemistry
In many clinical trials, treatment efficacy is based upon response to a biological marker that is measured repeatedly during the course of follow‐up. However, in some of these trials it is not clear, a priori , how treatment effects on the marker may manifest themselves or what kinds of effects are clinically meaningful and/or acceptable. It is, therefore, desirable to allow flexibility in design and monitoring process by not prespecifying a stopping rule or even the parameter on which inferences will be based. Using the more general results in Hu and Lagakos, this paper extends the idea of the repeated confidence intervals for a parameter (Jennison and Turnbull) to repeated confidence bands for the mean function of a repeated measure process. We illustrate the approach and some considerations in its application with the results of a recent AIDS clinical trial. Copyright © 1999 John Wiley & Sons, Ltd.