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NSTAGEBINOPT: Stata module to compute admissible multi-arm multi-stage trial designs with binary outcomes

Author

Listed:
  • Daniel Bratton

    (University College London)

Programming Language

Stata

Abstract

nstagebinopt searches for multi-arm multi-stage designs with binary intermediate (I) and definitive (D) outcomes which have the desired overall type I error rate and power (feasible designs). The stagewise operating characteristics of feasible designs which minimise the Bayesian loss function (1-q)E(N|H0)+qE(N|HK) for some q between 0 and 1 are then reported. Here E(N|H0) is the expected sample size under the hypothesis that all K experimental arms in the study are ineffective and E(N|HK) is the expected sample size assuming all K experimental arms are effective.

Suggested Citation

  • Daniel Bratton, 2014. "NSTAGEBINOPT: Stata module to compute admissible multi-arm multi-stage trial designs with binary outcomes," Statistical Software Components S457912, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s457912
    Note: This module should be installed from within Stata by typing "ssc install nstagebinopt". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/n/nstagebinopt.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/f/fwer1stage.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/n/nstagebinopt.sthlp
    File Function: help file
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