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

Daniel Bratton ()
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Daniel Bratton: University College London

Statistical Software Components from Boston College Department of Economics

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.

Language: Stata
Requires: Stata version 10
Keywords: randomized trial; multi-arm; multi-stage; feasible design (search for similar items in EconPapers)
Date: 2014-09-21
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.
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http://fmwww.bc.edu/repec/bocode/n/nstagebinopt.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/f/fwer1stage.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/n/nstagebinopt.sthlp help file (text/plain)

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