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Point and Interval Estimation Following a Sequential Clinical Trial
Susan Todd, John Whitehead and Karen M. Facey
Vol. 83, No. 2 (Jun., 1996), pp. 453-461
Stable URL: http://www.jstor.org/stable/2337615
Page Count: 9
You can always find the topics here!Topics: Confidence interval, Estimation bias, Simulations, Clinical trials, Maximum likelihood estimators, Point estimators, Confidence limits, Experimentation, Maximum likelihood estimation, Design analysis
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The usual methodology employed in analysis after a sequential clinical trial is based on orderings of the possible samples resulting from the design. However, this approach lacks flexibility for use in wider applications. In this paper two estimation techniques not based on orderings are considered and modified to obtain improved accuracy. A bias-adjusted maximum likelihood estimate together with a new and general method for setting confidence limits are discussed. The realistic scenario of group sequential monitoring is assumed and methods for exact estimation are given. Accuracy of the methodology after a triangular test and an O'Brien & Fleming test are demonstrated through simulation.
Biometrika © 1996 Biometrika Trust