A New Variance Estimator for the Mantel-Haenszel Odds Ratio
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
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.