EXPERIMENTAL DESIGN AND DATA ANALYSIS METHODOLOGY FOR ANIMAL EXPERIMENTS

动物实验的实验设计和数据分析方法

• 批准号: 3965255
• 负责人: J K HASEMAN
• 金额: --
• 依托单位: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3965255
• 关键词: bioassay; cancer risk; carcinogen testing; computer simulation; data collection methodology /evaluation; dosage; environmental toxicology; mathematical model; statistics /biometry

This project is concerned with statistical methodology issues involved in the design, analysis, and interpretation of laboratory animal experiments in general and long-term carcinogenicity studies in particular. During the past year, considerable research was devoted to the derivation and utilization of survival-adjusted methods in the assessment of carcinogenic effects. These include consideration of important issues such as tumor lethality, the availability of cause of death information and mathematical modeling of the underlying response variable. The effect of various confounding variables (e.g., corn oil gavage; body weight differences) on the interpretation of carcinogenicity studies was also studied. Other biological/statistical issues that were the focus of research efforts during the past year were the relative merits of site-specific and overall (all sites) tumor incidence analyses, an evaluation of the frequency in which NTP carcinogenicity studies produce only benign neoplasia (i.e., with no supporting evidence of malignancy), and assessing the degree of synergistic effects in carcinogenicity studies in which two compounds are tested singly and in combination.

该项目涉及的统计方法问题涉及 实验动物实验的设计、分析和解释 特别是一般和长期的致癌性研究。在.期间 在过去的一年里，大量的研究致力于推导和 生存调整方法在致癌性评价中的应用 效果。其中包括对重要问题的考虑，如肿瘤 致死率、死因信息的可用性和数学 对潜在的响应变量进行建模。各种因素的影响 混杂变量(例如，玉米油饲喂；体重差异) 对致癌性研究的解释也进行了研究。其他 生物/统计学问题是研究工作的重点 在过去的一年中，站点具体和整体的相对优点是 (所有地点)肿瘤发病率分析，对 哪种NTP致癌性研究只产生良性肿瘤(即 没有支持恶性的证据)，并评估 两种化合物致癌性研究中的协同效应 单独测试和组合测试。