Abstract
A data monitoring committee holds a position of great trust within the structure of a US clinical trial, as it alone receives the accumulating data and decides whether to continue the trial. The committee generally meets at regularly scheduled intervals, e.g. six months. Recent advances in computation allow us to find optimal group-sequential strategies for each member of such a committee. This paper reviews how we plan to use the newly available computational ability to advise members of a data monitoring committee.
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© 1998 Springer Science+Business Media New York
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Kadane, J.B., Vlachos, P., Wieand, S. (1998). Decision Analysis for a Data Monitoring Committee of a Clinical Trial. In: Girón, F.J. (eds) Applied Decision Analysis. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0759-6_9
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DOI: https://doi.org/10.1007/978-94-017-0759-6_9
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5777-8
Online ISBN: 978-94-017-0759-6
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