Literature DB >> 21114662

An approach to the conditional error rate principle with nuisance parameters.

Georg Gutjahr1, Werner Brannath, Peter Bauer.   

Abstract

In the presence of nuisance parameters, the conditional error rate principle is difficult to apply because of the dependency of the conditional error function of the preplanned test on nuisance parameters. To use the conditional error rate principle with nuisance parameters, we propose to search among tests that guarantee overall error control for the test that maximizes a weighted combination of the conditional error rates over possible values of the nuisance parameters. We show that the optimization problem that defines such a test can be solved efficiently by existing algorithms.
© 2010, The International Biometric Society.

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Year:  2010        PMID: 21114662     DOI: 10.1111/j.1541-0420.2010.01507.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  3 in total

1.  Twenty-five years of confirmatory adaptive designs: opportunities and pitfalls.

Authors:  Peter Bauer; Frank Bretz; Vladimir Dragalin; Franz König; Gernot Wassmer
Journal:  Stat Med       Date:  2015-03-16       Impact factor: 2.373

2.  Maximum inflation of the type 1 error rate when sample size and allocation rate are adapted in a pre-planned interim look.

Authors:  Alexandra C Graf; Peter Bauer
Journal:  Stat Med       Date:  2011-04-15       Impact factor: 2.373

3.  Conditional power and friends: The why and how of (un)planned, unblinded sample size recalculations in confirmatory trials.

Authors:  Kevin Kunzmann; Michael J Grayling; Kim May Lee; David S Robertson; Kaspar Rufibach; James M S Wason
Journal:  Stat Med       Date:  2022-01-13       Impact factor: 2.497

  3 in total

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