Abstract:
:There is no consensus on determination of sample size in phase II clinical trials. The use of Bayesian decision theory has been proposed by Stallard (1), among others. In this article, optimal three-stage designs are obtained using decision theory. These are compared with procedures proposed by Schoenfeld (2), Ensign et al. (3), and Chen et al. (4) and the sequential probability ratio test of Wald (5) and Barnard (6). The three-stage procedures are shown to be close to the true optimal test; the sequential probability ratio test is easier to obtain and only marginally inferior. Because optimality of the decision-theory approach depends on accurate specification of costs and profits, an assessment is made of the sensitivity of the proposed procedures to a range of gain function parameter values.
journal_name
J Biopharm Statjournal_title
Journal of biopharmaceutical statisticsauthors
Stallard Ndoi
10.1080/10543409808835253subject
Has Abstractpub_date
1998-07-01 00:00:00pages
469-87issue
3eissn
1054-3406issn
1520-5711journal_volume
8pub_type
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