Interval estimation of proportion ratios for stratified bilateral correlated binary data. (July 2020)

• Record Type: Journal Article
• Authors: Xue, Yuqing; Ma, Chang-Xing
• Is Part Of: Statistical methods in medical research. Volume 29:Number 7(2020)
• Page Start: 1987
• Page End: 2014
• Publication Date: 2020-07
• Subjects: Correlated binary data -- stratified bilateral-sample design -- Rosner's constant R model -- score-based confidence interval; Medicine -- Research -- Statistical methods -- Periodicals; Research -- Periodicals; Review Literature -- Periodicals; Statistics -- methods -- Periodicals; Médecine -- Recherche -- Méthodes statistiques -- Périodiques; 610.727
• DOI: 10.1177/0962280219882043
• Languages: English
• ISSNs: 0962-2802

Abstract

Confidence interval (CI) methods for the ratio of two proportions in the presence of correlated bilateral binary data are constructed for comparative clinical trials with stratified design. Simulations are conducted to evaluate the performance of the presented CIs with respect to mean coverage probability (MCP), mean interval width (MIW), and the ratio of mesial non-coverage probability to the distal non-coverage probability (RMNCP). Based on the empirical results, we suggest the use of the proposed CI method based on the complete score statistics (CS) for general applications. An example from a rheumatology study is used to demonstrate the proposed methodologies.