BINOMCI: Stata module to compute confidence intervals for binomial proportions using 12 methods

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: binomci computes confidence intervals for binomial proportions using 12 different methods (including the 5 already offered by ci). The command is designed to provide a comprehensive set of confidence interval methods, including both classical and modern approaches. binomci reports the same 12 methods as those implemented in the R program binomCI, but for several methods, binomci computes the boundary edge cases differently. binomci follows the recommended approaches discussed in Brown et al (2001), Newcombe (1998), and Vollset (1993).

Language: Stata
Requires: Stata version 11
Keywords: binary; binomial; dichotomous; confidence interval (search for similar items in EconPapers)
Date: 2026-02-06
Note: This module should be installed from within Stata by typing "ssc install binomci". 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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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/b/binomci.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/binomci.sthlp help file (text/plain)

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