Linear Nonparametric Tests for Comparison of Counting Processes, with Applications to Censored Survival Data, Correspondent Paper

作者: Per Kragh Andersen , Ørnulf Borgan , Richard Gill , Niels Keiding , Ornulf Borgan

DOI: 10.2307/1402489

关键词: EconometricsNonparametric statisticsSurvival dataApplied mathematicsNonparametric hypothesis testingProbabilistic logicComputer scienceMaster theoremMarkov processGeneral theoryCensoring (statistics)

摘要: This paper surveys linear nonparametric one-and k-sample tests for counting processes. The necessary probabilistic background is outlined and a master theorem proved, which may be specialized to most known asymptotic results for linear rank tests for censored data as well as to asymptotic results for one-and k-sample tests in more general situations, an important feature being that very general censoring patterns are allowed. A survey is given of existing tests and their relation to the general theory, and we mention examples of …

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