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

Center for Health Disparities Research and Department of Public Health, Brody School of Medicine, Greenville, NC 27858, USA
This paper is an extended version of paper presented at the Ninth International Symposium on Recent Advances in Environmental Health Research, Jackson, MS, USA; 16–19 September 2012.
Received: 16 November 2012; in revised form: 28 December 2012 / Accepted: 14 January 2013 / Published: 21 October 2013
PDF Full-text Download PDF Full-Text [199 KB, Updated Version, uploaded 22 October 2013 17:53 CEST]
The original version is still available [199 KB, uploaded 21 October 2013 09:31 CEST]
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

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

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