Some asymptotic results for hypothesis testing in multivariate failure time data |
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| Institution: | 1. Department of Neurobiology, Harbin Medical University, Heilongjiang Provincial Key Laboratory of Neurobiology, Harbin, Heilongjiang 150086, China;2. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China;3. YanTai PengLai, People''s Hospital Digestive System Department, YanTai, ShanDong 265600, China |
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| Abstract: | This paper presents a class of generalized Wald, generalized score and generalized likelihood ratio statistics for hypothesis testing and model selection for multivariate failure time data. These statistics are based on a marginal hazard model with a common baseline hazard function. The large sample distributions of these statistics are examined. It is shown that the proposed test statistics follow asymptotically a weighted sum of independent χ12 distributions. |
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