Computing Power and Sample Size for Informational Odds Ratio

International Journal of Environmental Research and Public Health

关键词: informational odds ratios;    power;    sample size;   

DOI  :  10.3390/ijerph10105239

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown