  Confidence interval (CI) methods for stratified bilateral studies use
intraclass correlation to avoid misleading results. In this article, we propose
four CI methods (sample-size weighted global MLE-based Wald-type CI, complete
MLE-based Wald-type CI, profile likelihood CI, and complete MLE-based score CI)
to investigate CIs of proportion ratios to clinical trial design with
stratified bilateral data under Dallal's intraclass model. Monte Carlo
simulations are performed, and the complete MLE-based score confidence interval
(CS) method yields a robust outcome. Lastly, a real data example is conducted
to illustrate the proposed four CIs.
