This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 386
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Statisticians in the Pharmaceutical Industry
Abstract - #306084
Title: Noninferiority Trial Designs for Odds Ratios and Risk Differences
Author(s): Joan Hilton*+
Companies: University of California, San Francisco
Address: University of California at San Francisco, San Francisco, CA, 94107, USA
Keywords: active-controlled trial ; allocation ratio ; ancillary parameter
Abstract:

We show that for noninferiority trials in which response rates are equal under the alternative hypothesis, the common response rate is a design parameter whose value lies between the Experimental and Control rates. Thus setting it equal to the Control rate underestimates the minimum overall sample size, N*. Given the Control rate, the margin, and type I and II errors, our algorithm finds the design value of the common response rate and the corresponding N* and optimal allocation ratio, gamma*. We find that gamma* is increasingly imbalanced as the margin increases, the direction of the imbalance depends on the scale of the margin (for odds ratio VS risk difference), and multiple values of gamma* map to N*. The last feature allows trade-offs between an optimal gamma* at N* and a preferred gamma at a larger N. Power is lost if the scale of the margin is changed between design and analysis.


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