Homogeneity Test of Ratio of Two Proportions in Stratified Bilateral Data

Zhuang, Tingting1; Tian, Guo-Liang2; Ma, Chang-Xing1

2019-07-03

10.1080/19466315.2018.1506359

Statistics in Biopharmaceutical Research   影响因子和分区

1946-6315

Homogeneity is a nonnegligible condition in the statistical analysis of the stratified bilateral data. The correlation between responses from two paired body parts should be taken into account to avoid biased or misleading results. In this article, we derive four test statistics (i.e., likelihood ratio statistic T-L, Wald-type statistic T-W, and score statistics and ) for testing common ratios of two proportions across strata under the assumption of equal correlation coefficient within each stratum. Monte Carlo simulations show that the score test () generally produces robust Type I error and satisfactory power. Two real examples are used to demonstrate the performance of the four proposed tests. Supplementary materials for this article are available online.

Equal correlation coefficients model Likelihood ratio test Score test Stratified bilateral data Wald-type test

SCI

英语

其他

Mathematical & Computational Biology ; Mathematics

Mathematical & Computational Biology ; Statistics & Probability

WOS:000482261300002

AMER STATISTICAL ASSOC

Web of Science

1.Univ Buffalo, Dept Biostat, Buffalo, NY 14214 USA
2.Southern Univ Sci & Technol, Dept Math, Shenzhen, Guangdong, Peoples R China

Zhuang, Tingting,Tian, Guo-Liang,Ma, Chang-Xing. Homogeneity Test of Ratio of Two Proportions in Stratified Bilateral Data[J]. Statistics in Biopharmaceutical Research,2019,11(3):200-209.

Zhuang, Tingting,Tian, Guo-Liang,&Ma, Chang-Xing.(2019).Homogeneity Test of Ratio of Two Proportions in Stratified Bilateral Data.Statistics in Biopharmaceutical Research,11(3),200-209.

Zhuang, Tingting,et al."Homogeneity Test of Ratio of Two Proportions in Stratified Bilateral Data".Statistics in Biopharmaceutical Research 11.3(2019):200-209.