Abstract

Many asymptotic formulas for estimating the variance of and confidence intervals for odds ratios in case-control studies are available, but most have limitations. The method suggested by Cornfield (1956, Proceedings of the Third Berkeley Symposium 4, 135-148), for example, is iterative and requires calculation of exact variances if the number of subjects within each stratum is small. This paper presents a new asymptotic, noniterative variance estimate for the Mantel-Haenszel odds ratio which, based on a series of Monte Carlo experiments, compares favorably with other noniterative estimates when used for confidence interval estimation.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.