POWER_ONEROC: Stata module to compute power and sample size for a one-sample ROC test

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: power oneroc computes sample size or power for a one-sample receiver operating characteristic (ROC) analysis, based on equations 2 and 3 in Obuchowski, Lieber and Wians (2004). If auc0 is not specified, the default null hypothesis is set to 0.50, indicating no discrimination ability. Alternatively, the user can specify any value between 0.50 and 1.0 to represent the null hypothesis.

Language: Stata
Requires: Stata version 11
Keywords: ROC curve; area under the curve; power; sample size; one-sample (search for similar items in EconPapers)
Date: 2022-06-30, Revised 2022-10-03
Note: This module should be installed from within Stata by typing "ssc install power_oneroc". 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_oneroc.ado program code (text/plain)
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http://fmwww.bc.edu/repec/bocode/p/powerFile-URL:h ... /cmd_oneroc_init.ado program code (text/plain)
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http://fmwww.bc.edu/repec/bocode/p/power_oneroc.sthlp help file (text/plain)

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