期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

一维响应变量时最高无毒副作用剂量水平的识别 被引量：5

Identification of the Highest Dose Level for No Increased Toxicity Response
下载PDF
导出
摘要 在毒性试验中,将暴露在某一剂量水平下的处理组与接受相当于零剂量处理的对照组相比,随着药物剂量的增加,感兴趣的变量通常会呈现一种递增的趋势.考虑不会导致风险显著增加的最高剂量,本文使用AIC(Akaike information criterion)方法得到该剂量水平的强相合估计,并且通过两组数据及模拟的结果来说明AIC方法的优良性. The comparison of dose respones of treatment groups with those of a control group to determine the highest dose level for which there is no increased severity of toxicity response is discussed.A consistent estimator is gained by using a method based on the Akaike information criterion(AIC). Two sets of data and Monte Carlo simulation are used to illustrate the method.
作者 李春红 张忠占
机构地区 北京工业大学应用数理学院
出处 《生物数学学报》 CSCD 2004年第2期219-225,共7页 Journal of Biomathematics
基金 北京市自然科学基金资助项目(1002001) 国家自然科学基金资助项目(10371005)
关键词 AIC方法 剂量反应关系 毒性试验 Akaike information criterion Dose response relation Toxicity trial
分类号 O211.1 [理学—概率论与数理统计] O213 [理学—概率论与数理统计]
  • 相关文献

参考文献6

  • 1Williams D A. The comparison of several dose levels with a zero dose control[J]. Biometrics, 1972, 28(2):519-531.
  • 2Shirley E. A nonparametric equivalent of Williams'test for contrasting increasing dose levels of a treatment[J].Biometrics, 1977, 33(2):386-389.
  • 3Yanagawa T, Kikuchi Y, Brown K G. No-observed-adverse-effect levels in severity data[J]. JASA, 1997,92(438):449-454.
  • 4Konishi S. Statistical model evaluation and information criteria[J]. in Multivariate analysis, design of experiments and survery sampling[M]. Subir Ghosh (eds). New York: Marcd Dekker Inc, 1999, 369-399.
  • 5Williams D A. A note on Shirley's nonparametric test for comparing several dose levels with a zero-dose control[J]. Biometrics, 1986, 42(1):183-186.
  • 6Hannan E J, Quinn B G. The determination of the order of an autoregression[J]. J R Statist Soc, 1979,B41(2):190-195.

同被引文献16

  • 1Yanagawa, T. , Kikuchi, Y. , Brown, K.G. No - observed - adverse - effect levels in severity data[ J ]. Journal of American Statistical Association, 1997,92 (438) : 449 - 454.
  • 2Shibata. R. An ootimal selection of regression variables [ J ]. Biometrika, 1981,68 : 45 - 54.
  • 3Nishi, R. Asymptotic properties of oritetia for selection of variables in multiple regression [ J ]. The Annals of Statistics, 1984, 12(2) : 758 -765.
  • 4Willams, D.A. The comparison of several dose levels with a zero dose control[J]. Biometrics, 1972,28: 519-531.
  • 5Shirley, E. A nonparametrie equivalent of Williams'tot for contrasting increasing dose levels of a treatment[ J ]. Biometrics, 1977,33 : 386 - 389.
  • 6WILLIAMS D A.The comparison of several dose levels with a zero dose control[J].Biometrics,1972,28:519-531.
  • 7SHIRLEY E.A nonparametric equivalent of Williams' test for contrasting increasing dose levels of a treatment[J].Biometrics,1977,33:386-389.
  • 8YANAGAWA T,KIKUCHI Y,BROWN K G.No-observed-adverse-effect levels in severity data[J].Journal of American Statistical Association,1997,92(438):449-454.
  • 9李春红 张忠占.最高无毒副作用水平的识别[J].数理统计与管理,2003,22:11-14.
  • 10DIGGLE P J,KENWARD M G.Informative dropout inlongitudinal data analysis[J].Applied Statistics,1994,43:49-93.

引证文献5

二级引证文献1

生物数学学报
2004年 第2期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部