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Performance of some multiple testing procedures to compare three doses of a test drug and placebo
Author(s) -
Kong Lan,
Koch Gary,
Liu Thomas,
Wang Huei
Publication year - 2005
Publication title -
pharmaceutical statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 38
eISSN - 1539-1612
pISSN - 1539-1604
DOI - 10.1002/pst.148
Subject(s) - spurious relationship , placebo , drug , type i and type ii errors , medicine , computer science , multiple comparisons problem , reliability engineering , intensive care medicine , statistics , pharmacology , machine learning , mathematics , engineering , alternative medicine , pathology
A study design with two or more doses of a test drug and placebo is frequently used in clinical drug development. Multiplicity issues arise when there are multiple comparisons between doses of test drug and placebo, and also when there are comparisons of doses with one another. An appropriate analysis strategy needs to be specified in advance to avoid spurious results through insufficient control of Type I error, as well as to avoid the loss of power due to excessively conservative adjustments for multiplicity. For evaluation of alternative strategies with possibly complex management of multiplicity, we compare the performance of several testing procedures through the simulated data that represent various patterns of treatment differences. The purpose is to identify which methods perform better or more robustly than the others and under what conditions. Copyright © 2005 John Wiley & Sons, Ltd.