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Nonparametric test for stratum effects in the cox model with interval-censored data
Authors:Xiaodong Fan  Jianguo Sun
Affiliation:1. Center for Applied Statistical Research and College of Mathematics, Jilin University, Changchun, China;2. School of Science, Jilin Institute of Chemical Technology, Jilin, China;3. Department of Statistics, University of Missouri, Columbia, MO, USA
Abstract:The testing of the stratum effects in the Cox model is an important and commonly asked question in medical research as well as in many other fields. In this paper, we will discuss the problem where one observes interval-censored failure time data and generalize the procedure given in Sun and Yang (2000 Sun, J., and I. Yang. 2000. Nonparametric test for stratum effects in the cox model. Lifetime Data Analysis 6:32130.[Crossref], [PubMed], [Web of Science ®] [Google Scholar]) for right-censored data. The asymptotic distribution of the new test statistic is established and the simulation study conducted for the evaluation of the finite sample properties of the method suggests that the generalized procedure seems to work well for practical situations. An application is provided.
Keywords:Interval-censored data  Nonparametric test  Proportional hazards model  Stratum effects.
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