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                                       Details for article 10 of 16 found articles
 
 
  Extension of two-sided test to multiple treatment trials
 
 
Title: Extension of two-sided test to multiple treatment trials
Author: Chen, T. Timothy
Simon, Richard
Appeared in: Communications in statistics
Paging: Volume 25 (1996) nr. 5 pages 947-965
Year: 1996
Contents: In a two-treatment trial, a two-sided test is often used to reach a conclusion, Usually we are interested in doing a two-sided test because of no prior preference between the two treatments and we want a three-decision framework. When a standard control is just as good as the new experimental treatment (which has the same toxicity and cost), then we will accept both treatments. Only when the standard control is clearly worse or better than the new experimental treatment, then we choose only one treatment. In this paper, we extend the concept of a two-sided test to the multiple treatment trial where three or more treatments are involved. The procedure turns out to be a subset selection procedure; however, the theoretical framework and performance requirement are different from the existing subset selection procedures. Two procedures (exclusion or inclusion) are developed here for the case of normal data with equal known variance. If the sample size is large, they can be applied with unknown variance and with the binomial data or survival data with random censoring.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 10 of 16 found articles
 
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