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Simon's minimax and optimal and Jung's admissible two-stage designs with or without curtailment

Author

Listed:
  • Cornelia U. Kunz

    (University of Heidelberg, Germany)

  • Meinhard Kieser

    (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 im- plemented in both stages of the trial, and the properties of the curtailed designs can be examined. Copyright 2011 by StataCorp LP.

Suggested Citation

  • Cornelia U. Kunz & Meinhard Kieser, 2011. "Simon's minimax and optimal and Jung's admissible two-stage designs with or without curtailment," Stata Journal, StataCorp LP, vol. 11(2), pages 240-254, June.
    • Handle: RePEc:tsj:stataj:v:11:y:2011:i:2:p:240-254
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    References listed on IDEAS

    as
    1. Yong Lin & Weichung J. Shih, 2004. "Adaptive Two-Stage Designs for Single-Arm Phase IIA Cancer Clinical Trials," Biometrics, The International Biometric Society, vol. 60(2), pages 482-490, June.
    2. Adrian Mander, 2009. "SIMON2STAGE: Stata module to to compute the design parameters for a Simon two-stage design," Statistical Software Components S457081, Boston College Department of Economics, revised 17 Jan 2012.
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