EconPapers    
Economics at your fingertips  
 

LOGITTORISK: Stata module for conversion of logistic regression output to differences and ratios of risk

Luis Furuya-Kanamori () and Suhail AR Doi
Additional contact information
Luis Furuya-Kanamori: Research School of Population Health, Australian National University
Suhail AR Doi: Department of Population Medicine, College of Medicine, Qatar University

Statistical Software Components from Boston College Department of Economics

Abstract: logittorisk computes the exposure/intervention group risk (r1) and a table of differences and ratios of risk from the baseline odds (constant) and odds ratio (from the first explanatory variable) obtained from a prior logistic regression. This conversion is aimed at facilitating use of the OR in the reporting of clinical trials and meta-analyses because the OR is the “portable” effect measure, while the RR varies with baseline risk.

Language: Stata
Requires: Stata version 14 and indeplist from SSC (q.v.)
Keywords: risk; logit; logistic; risk ratio (search for similar items in EconPapers)
Date: 2020-12-14, Revised 2021-10-16
Note: This module should be installed from within Stata by typing "ssc install logittorisk". 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/l/logittorisk.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/logittorisk.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/logittoriski.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/l/logittoriski.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/logittorisk_example_data.dta sample data file (application/x-stata)

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:s458886

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 2025-04-14
Handle: RePEc:boc:bocode:s458886