Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Int. J. Environ. Res. Public Health 2013, 10(10), 5239-5243; doi:10.3390/ijerph10105239
Communication

Computing Power and Sample Size for Informational Odds Ratio

Received: 16 November 2012; in revised form: 28 December 2012 / Accepted: 14 January 2013 / Published: 21 October 2013
View Full-Text   |   Download PDF [199 KB, updated 19 June 2014; original version uploaded 19 June 2014]   |   Browse Figures
Abstract: The informational odds ratio (IOR) measures the post-exposure odds divided by the pre-exposure odds (i.e., information gained after knowing exposure status). A desirable property of an adjusted ratio estimate is collapsibility, wherein the combined crude ratio will not change after adjusting for a variable that is not a confounder. Adjusted traditional odds ratios (TORs) are not collapsible. In contrast, Mantel-Haenszel adjusted IORs, analogous to relative risks (RRs) generally are collapsible. IORs are a useful measure of disease association in case-referent studies, especially when the disease is common in the exposed and/or unexposed groups. This paper outlines how to compute power and sample size in the simple case of unadjusted IORs.
Keywords: informational odds ratios; power; sample size informational odds ratios; power; sample size
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Efird, J.T. Computing Power and Sample Size for Informational Odds Ratio. Int. J. Environ. Res. Public Health 2013, 10, 5239-5243.

AMA Style

Efird JT. Computing Power and Sample Size for Informational Odds Ratio. International Journal of Environmental Research and Public Health. 2013; 10(10):5239-5243.

Chicago/Turabian Style

Efird, Jimmy T. 2013. "Computing Power and Sample Size for Informational Odds Ratio." Int. J. Environ. Res. Public Health 10, no. 10: 5239-5243.



Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert