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ODDSRISK: Stata module to convert Logistic Odds Ratios to Risk Ratios

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Joseph Hilbe ()

Additional information is available for the following registered author(s):

Abstract

oddsrisk converts logistic regression odds ratios to relative risk ratios. When the incidence of an outcome is common in the study population; i.e. greater than 10%, the logistic regression odds ratio no longer approximates the risk ratio. As the incidence rate becomes more frequent, the more the odds ratio overestiamtes the risk ratio when its value is greater than 1, and the more it underestiamtes the risk ratio when under one. J. Zhang and K. Yu proposed a method of adjusting the logistic regression odds ratio in a cohort study or clinical trial so that it approximates the risk ratio. This is particularly important when the odds ratio is greater than 2.5 or under 0.5. The method has also been shown to be applicable for retrospective and observational studies as well.

Download Info
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File URL: http://fmwww.bc.edu/repec/bocode/o/oddsrisk.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/o/oddsrisk.hlp
File Format: text/plain
File Function: help file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456897.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
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Programming language: Stata
Requires: Stata version 10.0
Date of creation: 19 Dec 2007
Date of revision: 03 Feb 2008
Handle: RePEc:boc:bocode:s456897

Note: This module may be installed from within Stata by typing "ssc install oddsrisk". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: logistic odds ratios; risk ratios; logistic regression;

Statistics
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Did you know? RePEc stands for Research Papers in Economics.

This page was last updated on 2009-11-13.


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