Abstract
In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second stage to draw simultaneous inferences. This procedure is shown to control the family-wise error rate in a strong sense. The performance of the procedure is studied by simulation for different parameter settings. The conclusions of the simulation study are stated in terms of the power, family-wise error rate and lack of power.
Original language | English (US) |
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Pages (from-to) | 280-291 |
Number of pages | 12 |
Journal | Journal of Biopharmaceutical Statistics |
Volume | 19 |
Issue number | 2 |
DOIs | |
State | Published - Mar 2009 |
Keywords
- Closed testing
- Dose-response
- Minimum effective dose
- Multiple testing
- Step-down procedure
ASJC Scopus subject areas
- Statistics and Probability
- Pharmacology
- Pharmacology (medical)