Simon's minimax and optimal and Jung's admissible two-stage designs with or without curtailment
Cornelia U. Kunz
Institute of Medical Biometry
and Informatics
University of Heidelberg, Germany
[email protected]
|
Meinhard Kieser
Institute of Medical Biometry
and Informatics
University of Heidelberg, Germany
|
Abstract. This article describes a new Stata command called simontwostage,
which calculates the critical values and sample sizes for two-stage designs for
phase II oncology trials. Options are provided to determine the minimax and
optimal designs proposed by Simon (1989, Controlled Clinical Trials 10: 1–10)
and admissible designs described by Jung et al. (2004, Statistics in Medicine 23:
561–569). Furthermore, nonstochastic and stochastic curtailment rules can be implemented
in both stages of the trial, and the properties of the curtailed designs
can be examined.
View all articles by these authors:
Cornelia U. Kunz, Meinhard Kieser
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simontwostage, Simon's two-stage design, Jung's admissible design, phase~II trials, conditional power, curtailment
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