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Department of Statistics
Texas A&M University
STATISTICS COLLOQUIUM
DEPARTMENT OF STATISTICS
Texas A&M University
Peter Thall
MD Anderson Cancer Center
Decision Theoretic Designs for Phase II Clinical Trials with Multiple Outcomes
ABSTRACT:
In many phase II clinical trials it is essential to assess both efficacy and
safety. Although several phase II designs accommodating multiple outcomes have
been proposed recently, none are derived using decision theory.
This paper describes a Bayesian decision theoretic strategy for constructing
phase II designs based on
both efficacy and adverse events. The gain function includes utilities
assigned to patient outcomes, a reward for declaring the new treatment
promising, and costs associated with the conduct of
the phase II trial and future phase III testing. A method for eliciting gain
function parameters from medical collaborators and evaluation of the design's
frequentist operating characteristics is described. The strategy is
illustrated by application to a clinical trial of
peripheral blood stem cell transplantation for multiple myeloma.
Key words:
Backward induction; Clinical trial design; Optimal stopping; Safety and
efficacy monitoring; Sequential procedure.
| DATE: | Thursday, September 24, 1998 | |
| TIME: | 4:00 p.m.-5:00 p.m. | |
| PLACE: | Room 150, Blocker |
Refreshments will be served in the Blocker Building, Room 447, at 3:30 p.m.
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