  Intraclass correlation in bilateral data has been investigated in recent
decades with various statistical methods. In practice, stratifying bilateral
data by some control variables will provide more sophisticated statistical
results to satisfy different research proposed in random clinical trials. In
this article, we propose three test statistics (likelihood ratio test, score
test, and Wald-type test statistics) to evaluate the homogeneity of proportion
ratios for stratified bilateral correlated data under an equal correlation
assumption. Monte Carlo simulations of Type I error and power are performed,
and the score test yields a robust outcome based on empirical Type I error and
power. Lastly, a real data example is conducted to illustrate the proposed
three tests.
