Bivariate symmetry tests for complete and competing risks data: a saddlepoint approach
Abd-elfattah, Ehab;
Abstract
© 2016 Informa UK Limited, trading as Taylor & Francis Group. A class of bivariate symmetry tests for complete data and competing risks data is considered. Saddlepoint approximation for the exact p-values of the underlying permutation distribution of these tests is derived. Several simulation studies are conducted to evaluate the performance of the saddlepoint approximation and the asymptotic approximation. The saddlepoint approximation was found to be highly accurate and superior to the asymptotic approximations in replicating the exact permutation significance.
Other data
| Title | Bivariate symmetry tests for complete and competing risks data: a saddlepoint approach | Authors | Abd-elfattah, Ehab | Issue Date | 2016 | Journal | Journal of Statistical Computation and Simulation | DOI | 6 https://api.elsevier.com/content/abstract/scopus_id/84997755019 1269 87 10.1080/00949655.2016.1261405 |
Scopus ID | 2-s2.0-84997755019 |
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