A Monte Carlo study of three odds ratio estimators and four tests of association in several 2x2 tables when the data are sparse

DOI10.1080/03610918808812697zbMath0695.62140OpenAlexW2032544641MaRDI QIDQ3471482

Michael P. Jones, Thomas W. O'Gorman, Robert F. Woolson, Jon H. Lemke

Publication date: 1988

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918808812697

zbMATH Keywords

sparse datacategorical dataMantel-Haenszel statisticchi-square tests

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Contingency tables (62H17)

Related Items (1)

A simulation study of estimators of a common odds ratio in several 2 × 2 tables

Uses Software

• BMDP

Cites Work

• Analysis of Categorical Data by Linear Models
• Odds ratio estimators when the data are sparse
• Finite-Sample Properties of Some Old and Some New Estimators of a Common Odds Ratio from Multiple 2 × 2 Tables
• The Variance of the Mantel-Haenszel Estimator
• Expected Significance Level as a Sensitivity Index for Test Statistics
• The Comparison of Proportions: A Review of Significance Tests, Confidence Intervals and Adjustments for Stratification
• On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known

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