Please use this identifier to cite or link to this item: https://doi.org/10.1002/sim.1883
Title: Multiple comparisons with a control in families with both one-sided and two-sided hypotheses
Authors: Cheung, S.H.
Kwong, K.S. 
Chan, W.S.
Leung, S.P.
Keywords: Directional-mixed families
Dunnett procedure
Familywise type I error
Multiple comparisons with a control
Issue Date: 15-Oct-2004
Citation: Cheung, S.H., Kwong, K.S., Chan, W.S., Leung, S.P. (2004-10-15). Multiple comparisons with a control in families with both one-sided and two-sided hypotheses. Statistics in Medicine 23 (19) : 2975-2988. ScholarBank@NUS Repository. https://doi.org/10.1002/sim.1883
Abstract: Comparing several treatments with a control is a common objective of clinical studies. However, existing procedures mainly deal with particular families of inferences in which all hypotheses are either one- or two-sided. In this article, we seek to develop a procedure which copes with a more general testing environment in which the family of inferences is composed of a mixture of one- and two-sided hypotheses. The proposed procedure provides a more flexible and powerful tool than the existing method. The superiority of this method is also substantiated by a simulation study of average power. Selected critical values are tabulated for the implementation of the proposed procedure. Finally, we provide an illustrative example with sample data extracted from a medical experiment. Copyright © 2004 John Wiley & Sons, Ltd.
Source Title: Statistics in Medicine
URI: http://scholarbank.nus.edu.sg/handle/10635/105228
ISSN: 02776715
DOI: 10.1002/sim.1883
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