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    題名: Two-sample scale tests for comparison of metabolic rates for styrene in previously exposed and unexposed groups
    作者: 陳主智;Chen, Chu-chih
    貢獻者: 淡江大學數學學系
    關鍵詞: Hodges–Lehmann estimator;mixed-eects model;permutation test;physiologicallybased pharmacokinetic model;Wilcoxon rank-sum test
    日期: 2004-02-01
    上傳時間: 2010-01-28 07:37:25 (UTC+8)
    出版者: Wiley-Blackwell
    摘要: Statistical analysis procedure in two-sample treatment difference, as well as alternative hypothesis, may play a central role in statistical inference, especially in small sample size case. In this paper, simple non-parametric two-sample permutation tests for scale difference based on the Hodges–Lehmann estimator are reformulated, and are applied to a study examining whether previous styrene exposure increases (thus a one-sided alternative hypothesis rather than a two-sided one) the human liver's metabolic ability to convert styrene into styrene oxide, in which a three-compartment physiologically based pharmacokinetic (PBPK) model was used to compare the estimated metabolic constant κamong the previously exposed and unexposed groups. Contrary to the previous conclusion, the proposed tests for scale difference identified from a mixed-effects model showed a significant result.
    關聯: Statistics in Medicine 23(4), pp.591-599
    DOI: 10.1002/sim.1617
    顯示於類別:[數學學系暨研究所] 期刊論文


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