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Activity Number: 436 - SPEED: Tests, Trials, Biomarkers, and Other Topics in Biometrics
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 3:05 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract #332917
Title: Common Risk Difference Test and Interval Estimation of Risk Difference for Stratified Bilateral Correlated Data
Author(s): Xi Shen* and Changxing Ma and Guoliang Tian and Kam Chuen Yuen
Companies: State University of New York At Buffalo and State University of New York At Buffalo and Southern University of Science and Technology and The University of Hong Kong
Keywords: Bilateral correlated data; Common risk difference test; Intra-class correlation coefficients; Interval estimation; Strata

Bilateral correlated data are often encountered in medical researches such as ophthalmologic (or otolaryngologic) studies, in which each unit contributes information from paired organs to the data analysis, and the measurements from such paired organs are generally highly correlated. Various statistical methods have been developed to tackle intra-class correlation on bilateral correlated data analysis. In practice, it is very important to adjust the effect of confounder on statistical inferences, since either ignoring the intra-class correlation or confounding effect may lead to biased results. In this article, we propose three approaches for testing common risk difference for stratified bilateral correlated data under the assumption of equal correlation. Five confidence intervals (CIs) of common difference of two proportions are derived. The simulation results show that the score test statistic outperforms other statistics in the sense that the former has robust type I error rates with high powers. The score CI induced from the score test statistic performs satisfactorily in terms of coverage probabilities with reasonable interval widths.

Authors who are presenting talks have a * after their name.

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