REGPAR: Stata module to compute population attributable risks from binary regression models

Roger Newson

Statistical Software Components from Boston College Department of Economics

Abstract: regpar calculates confidence intervals for population attributable risks, and also for scenario proportions. regpar can be used after an estimation command whose predicted values are interpreted as conditional proportions, such as logit, logistic, probit, or glm. It estimates two scenario proportions, a baseline scenario ("Scenario 0") and a fantasy scenario ("Scenario 1"), in which one or more exposure variables are assumed to be set to particular values (typically zero), and any other predictor variables in the model are assumed to remain the same. It also estimates the difference between the Scenario 0 proportion and the Scenario 1 proportion. This difference is known as the population attributable risk (PAR), and represents the amount of risk attributable to living in Scenario 0 instead of Scenario 1.

Language: Stata
Requires: Stata version 14
Keywords: binary regression; population attributable risk (search for similar items in EconPapers)
Date: 2011-11-01, Revised 2015-09-04
Note: This module should be installed from within Stata by typing "ssc install regpar". 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/r/regpar.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/regpar_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/regpar.sthlp help file (text/plain)

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