EconPapers    
Economics at your fingertips  
 

MARGPREV: Stata module to compute marginal prevalences from binary regression models

Roger Newson

Statistical Software Components from Boston College Department of Economics

Abstract: margprev calculates confidence intervals for marginal prevalences, also known as scenario proportions. margprev can be used after an estimation command whose predicted values are interpreted as conditional proportions, such as logit, logistic, probit, or glm. It estimates a marginal prevalence for a scenario ("Scenario 1"), in which one or more exposure variables may be assumed to be set to particular values, and any other predictor variables in the model are assumed to remain the same.

Language: Stata
Requires: Stata version 14
Keywords: binary regression; confidence intervals; scenario proportions (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 margprev". 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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/margprev.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/margprev_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/margprev.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457365

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

 
Page updated 2025-03-30
Handle: RePEc:boc:bocode:s457365