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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27793

    Title: Simple-tree weighted logrank tests for right-censored data
    Authors: Chen,YI
    Contributors: 統計研究所
    Date: 1998
    Issue Date: 2010-06-29 19:33:44 (UTC+8)
    Publisher: 中央大學
    Abstract: In this paper we are concerned with the problem of testing against the simple-tree alternative that there is at least one treatment more effective than the control when data are subject to random right-censorship. A class of tests based on linear combinations of two-sample weighted logrank statistics each comparing an individual treatment with the control is proposed. Asymptotic relative efficiencies of the simple-tree versions of Gehan-Wilcoxon, logrank and Peto-Prentice-Wilcoxon under Lehmann and scale alternatives are evaluated for various combinations of survival distributions and censoring probabilities. The results of a Monte Carlo level and power study are presented. An illustrated numerical example is also reported.
    Appears in Collections:[統計研究所] 期刊論文

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