Construction of confidence intervals for the risk differences in stratified design with correlated bilateral data
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AbstractA stratified study is often designed for adjusting a confounding effect or effect of different centers/groups in two treatments or diagnostic tests, and the risk difference is one of the most frequently used indices in comparing efficiency between two treatments or diagnostic tests. This article presented five simultaneous confidence intervals (CIs) for risk differences in stratified bilateral designs accounting for the intraclass correlation and developed seven CIs for the common risk difference under the homogeneity assumption. The performance of the CIs is evaluated with respect to the empirical coverage probabilities, empirical coverage widths and ratios of mesial noncoverage probability and the noncoverage probability under various scenarios. Empirical results show that Wald simultaneous CI, Haldane simultaneous CI, Score simultaneous CI based on Bonferroni method and simultaneous CI based on bootstrap-resampling method perform satisfactorily and hence be recommended for applications, the CI based on the weighted-least-square (WLS) estimator, the CIs based on Mantel–Haenszel estimator, the CI based on Cochran statistic and the CI based on Score statistic for the common risk difference behave well even under small sample sizes. A real data example is used to demonstrate the proposed methodologies.
All Author(s) ListQiu SF, Poon WY, Tang ML, Ji-Ran Tao
Journal nameJournal of Biopharmaceutical Statistics
Year2019
Month5
Day4
Volume Number29
Issue Number3
PublisherTaylor & Francis: STM, Behavioural Science and Public Health Titles
Pages446 - 467
ISSN1054-3406
LanguagesEnglish-United States
KeywordsBootstrap-resampling method, correlated bilateral data, risk difference, simultaneous confidence interval, stratified design

Last updated on 2021-19-01 at 23:35