Kernel estimates of dose response.
Kernel estimates of dose response.
复制标题
剂量反应的核估计。
作者：
J. Staniswalis;V. Cooper
本文提出了一种非参数方法来分析间接生物测定实验中的量子响应数据。剂量-反应曲线的核估计用于为（i）在低剂量下具有治疗作用和在高剂量下具有毒性作用的药物的最佳组合剂量和（ii）有毒化学品的致死剂量水平开发近似置信区间。这个非参数的过程中实施的真实的和模拟数据。当剂量-反应曲线关于最优值对称时，问题（i）的置信区间具有高覆盖概率。然而，覆盖概率受到关于最优值的不对称性的不利影响，因此不可靠，除非样本量很大。使用具有高阶核的核估计器可以减轻这种对不对称性的敏感性。问题（ii）的置信区间具有高覆盖概率，相对于潜在剂量-反应曲线的形状或对称性具有鲁棒性。
A nonparametric method for analyzing quantal response data from an indirect bioassay experiment is proposed. Kernel estimates of the dose-response curve are used to develop approximate confidence intervals for (i) the optimal combination dose of a drug with therapeutic effects at low doses and toxic effects at high doses, and (ii) the lethal dose levels of a toxic chemical. This nonparametric procedure was implemented on real and simulated data. The confidence interval for problem (i) has high coverage probabilities when the dose-response curve is symmetric about the optima. However, the coverage probabilities are adversely affected by asymmetry about the optima and consequently are not reliable unless the sample sizes are large. The use of kernel estimators with higher-order kernels may alleviate this sensitivity to asymmetry. The confidence interval for problem (ii) has high coverage probabilities robust with respect to the shape or symmetry of the underlying dose-response curve.
一些挥发性亚硝酸盐对小鼠运动性能和致死率的急性影响。
DOI：
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发表时间：
1986
期刊：
Neurobehavioral toxicology and teratology
影响因子：
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作者：
Rees,DC;Coggeshall,EM;Dragan,Y;Breen,TJ;Balster,RL
通讯作者：
Balster,RL