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Activity Number: 417 - Contributed Poster Presentations: Section on Statistics in Epidemiology
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #323664
Title: Increasing and Balancing the Power of Multiple Tests in Optimal Treatment Duration Clinical Trials
Author(s): Yongdong Ouyang* and Hubert Wong
Companies: University of Birtish Columbia and University of British Columbia
Keywords: Clinical trial ; Optimal duration ; Multiple hypothesis tests ; Power ; Sample size allocation
Abstract:

RCTs, where patients are allocated to receive treatment for different durations, may be used to determine the optimal duration of treatment. In these trials, patients in different arms receive the same treatment for a period. For example, in a trial comparing 3 treatment durations,0,6,and 12 months, patients in the 6 and 12 month arms receive the same treatment during the first 6 months. The overlap allows for more powerful analyses than the conventional comparisons. Suppose the outcome is survival time. For the 0 vs 6-month comparison, the power can be increased by including patients in the 12 month arm as patients in the 6-month arm for the first 6 months and censoring at 6 months. Moreover, any difference observed between the 6 and 12 month arms during the first 6 months can only be noise. Hence, this comparison should be restricted to patients who stay on study at 6 months and include only those events that occur after 6 months. Note that with equal allocations, events during the first 6 months will reduce the number of patients for the 6 vs 12-month analysis, thus lowering the power of the analysis. A new sample size allocation procedure has been designed to balance the power.


Authors who are presenting talks have a * after their name.

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