Literature DB >> 10931512

Evaluation of a combination drug with multiple doses in unbalanced factorial design clinical trials.

H M Hung1.   

Abstract

Flexibilities for sample size allocation are often demanded for achieving multiple study objectives in combination drug trials. The global tests of Hung, Chi and Lipicky are extended for analysis of unbalanced factorial design trials to test the hypothesis that at least one of the non-zero dose combinations of two drugs is more effective than the respective component doses. When the dose combinations have heterogeneous effect sizes, an unbalanced design may induce greater power than the balanced design. An adjusted p-value approach is proposed for testing the individual dose combinations under the condition that the maximum type I error probability is protected. Copyright 2000 John Wiley & Sons, Ltd.

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Year:  2000        PMID: 10931512     DOI: 10.1002/1097-0258(20000830)19:16<2079::aid-sim535>3.0.co;2-i

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Generalized Confidence Intervals Compatible with the Min Test for Simultaneous Comparisons of One Subpopulation to Several Other Subpopulations.

Authors:  Julia N Soulakova
Journal:  Commun Stat Theory Methods       Date:  2017-06-07       Impact factor: 0.893

2.  Testing multiple dose combinations in clinical trials.

Authors:  Saswati Saha; Werner Brannath; Björn Bornkamp
Journal:  Stat Methods Med Res       Date:  2019-09-24       Impact factor: 3.021

  2 in total

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