Article citationsMore>>

Jones, M.P., O’Gorman, T.W., Lemke, J.H. and Woolson, R.F. (1989) A Monte Carlo Investigation of Homogeneity Tests of the Odds Ratio under Various Sample Size Configurations. Biometrics, 45, 171-181.
https://doi.org/10.2307/2532043

has been cited by the following article:

• TITLE: Test for Homogeneity of Odds Ratios Using U-Statistics

  AUTHORS: Qi Wei, Dejian Lai

  KEYWORDS: Homogeneity Test, Odds Ratio, U-Statistics

  JOURNAL NAME: Open Journal of Statistics, Vol.9 No.3, June 18, 2019

  ABSTRACT: There are a few statistics testing the homogeneity of odds ratios across strata. Asymptotic statistics lose their power in the “sparse-data” setting. Both asymptotic statistics and exact tests have low power when the sample sizes are small. We created a set of U statistics and compared them with some existing statistics in testing homogeneity of OR at different data settings. We evaluated their performance in terms of the empirical size and power via Monto Carlo simulations. Our results showed that two of the U-statistics under our study had higher power for testing homogeneity of odds ratios for 2 by 2 contingency tables. The application of the tests was illustrated in two real examples.