POWER_TWOROC: Stata module to compute power and sample size for a two-sample (independent or paired) ROC test

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: power tworoc computes sample size or power for a two-sample receiver operating characteristic (ROC) analysis. When there is no correlation corr(0) between the two alternative AUCs (auc1 and auc2), power tworoc computes sample size (power) for an independent two-sample test. When the correlation does not equal 0, power tworoc computes sample size (power) for a paired two-sample test. Variance functions are computed using either the method described in Obuchowski, Lieber and Wians (2004) for ordinal data assuming a binormal distribution, or the method described by Hanley and McNeil (1982) for continuous data which is based on the Mann-Whitney version of the rank-sum test (the default).

Language: Stata
Requires: Stata version 11
Keywords: ROC curve; area under the curve; power; sample size; two-sample; paired samples; independent samples (search for similar items in EconPapers)
Date: 2022-10-03
Note: This module should be installed from within Stata by typing "ssc install power_tworoc". 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/p/powerFile-URL:h ... ode/_/cmd_tworoc.ado program code (text/plain)
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http://fmwww.bc.edu/repec/bocode/p/powerFile-URL:h ... /cmd_tworoc_init.ado program code (text/plain)
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http://fmwww.bc.edu/repec/bocode/p/power_tworoc.sthlp help file (text/plain)

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