Accession Number:

ADA248512

Title:

A Sample-Size Optimal Bayesian Procedure for Sequential Pharmaceutical Trials

Descriptive Note:

Technical rept.

Corporate Author:

STANFORD UNIV CA DEPT OF STATISTICS

Personal Author(s):

Report Date:

1992-03-05

Pagination or Media Count:

23.0

Abstract:

Consider a pharmaceutical trial where the consequences of different decisions are expressed on a financial sale. The efficacy of the new drug under consideration has a prior distribution obtained from the underlying biological process, animal experiments, clinical experience, and so forth. In an important paper, Berry and Ho 1988 show how these components are used to establish an optimal Bayes sequential procedure, assuming a known constant size at each decision point. We show in this article how it is also possible to optimize with respect to the sample-size rule. This last component of the design, which is missing from most sequential procedures, has the potential to yield considerably larger expected net gains.

Subject Categories:

  • Pharmacology
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE