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关于从动物致癌性数据推断出的剂量反应关系的置信区间和假设检验。

Confidence intervals and test of hypotheses concerning dose response relations inferred from animal carcinogenicity data.

作者信息

Crump K S, Guess H A, Deal K L

出版信息

Biometrics. 1977 Sep;33(3):437-51.

PMID:911968
Abstract

Confidence intervals and hypothesis tests are developed for dose-response relations based on dichotomous data from animal carcinogenicity experiments. The functional form of the dose-response curve comes from the Armitage-Doll multistage carcinogenesis model and involves a polynomial in the dose-rate, with non-negative coefficients. Asymptotic distributions of the maximum likelihood estimators of these coefficients are used to construct confidence bounds on risk at a given dose and on the dose corresponding to a given risk. Likelihood ratio tests are developed for the presence of a positive dose-related effect and for the existence of a positive slope to the dose-response curve at zero dose. The latter test is of practical importance since a positive slope of the dose-response curve at zero dose rules out any "threshold-like" behavior and would often mean that any concentration low enough to insure a negligibly low cancer risk (e.g., 10(-6)) would be too low to be economically useful for applications such as food additives. Simulation experiments are performed to provide guidelines for applying the theory.

摘要

基于动物致癌性实验的二分数据,为剂量反应关系建立了置信区间和假设检验。剂量反应曲线的函数形式源自阿米蒂奇 - 多尔多阶段致癌模型,涉及剂量率的多项式,其系数为非负。这些系数的最大似然估计量的渐近分布用于构建给定剂量下风险的置信界限以及对应给定风险的剂量的置信界限。针对正剂量相关效应的存在以及剂量反应曲线在零剂量处正斜率的存在,开发了似然比检验。后一种检验具有实际重要性,因为剂量反应曲线在零剂量处的正斜率排除了任何“阈值样”行为,并且通常意味着任何低到足以确保癌症风险可忽略不计(例如,10^(-6))的浓度对于食品添加剂等应用而言都太低而在经济上无实际用途。进行模拟实验以提供应用该理论的指导方针。

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