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Using Prior Information to Allocate Significance Levels for Multiple Endpoints by Peter H. Westfall; Alok Krishen; S. Stanley Young is a Mathematics article available to read on EtoBox.

What is Using Prior Information to Allocate Significance Levels for Multiple Endpoints about?

We maximize power in a replicated clinical trial involving multiple endpoints by adjusting the individual significance levels for each hypothesis, using preliminary data to obtain the optimal adjustments. The levels are constrained to control the familywise error rate. Power is defined as the expected number of significances, where expectations are taken with respect to the posterior distributions of the non-centrality parameters under non-informative priors. Sample size requirements for the replicate study are given. Intuitive principles such as downweighting insignificant variables from a preliminary study and giving primary endpoints more emphasis are justifiable within the conceptual framework.

Who reads Using Prior Information to Allocate Significance Levels for Multiple Endpoints?

Author

Peter H. Westfall; Alok Krishen; S. Stanley Young

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)

Published

1998

Language

EN

Field

Mathematics (Physical Sciences)