Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses.

Abstract:

:It has been widely recognized that interim analyses of accumulating data in a clinical trial can inflate type I error. Different methods, from group sequential boundaries to flexible alpha spending functions, have been developed to control the overall type I error at prespecified level. These methods mainly apply to testing the same endpoint in multiple interim analyses. In this article, we consider a group sequential design with preplanned endpoint switching after unblinded interim analyses. We extend the alpha spending function method to group sequential stopping boundaries when the parameters can be different between interim, or between interim and final analyses.

journal_name

J Biopharm Stat

authors

Chen LM,Ibrahim JG,Chu H

doi

10.1080/10543406.2014.901341

subject

Has Abstract

pub_date

2014-01-01 00:00:00

pages

817-33

issue

4

eissn

1054-3406

issn

1520-5711

journal_volume

24

pub_type

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