Department of Mathematics
Confidence intervals for a difference between proportions based on paired data
We construct several explicit asymptotic two-sided confidence intervals (CIs) for the difference between two correlated proportions using the method of variance of estimates recovery (MOVER). The basic idea is to recover variance estimates required for the proportion difference from the confidence limits for single proportions. The CI estimators for a single proportion, which are incorporated with the MOVER, include the Agresti-Coull, the Wilson, and the Jeffreys CIs. Our simulation results show that the MOVER-type CIs based on the continuity corrected U coefficient and the Tango score CI perform satisfactory in small sample designs and spare data structures. We illustrate the proposed CIs with several real examples. Copyright © 2009 John Wiley & Sons, Ltd.
Agresti-coull interval, Jeffreys interval, Method of variance estimates recovery, Paired binary data, Tango score interval, Wilson score interval
Source Publication Title
Statistics in Medicine
Link to Publisher's Edition
Tang, Man-Lai, Man-Ho Ling, Leevan Ling, and Guoliang Tian. "Confidence intervals for a difference between proportions based on paired data." Statistics in Medicine 29.1 (2010): 86-96.