EXPERIMENTAL DESIGN AND DATA ANALYSIS METHODOLOGY FOR ANIMAL EXPERIMENTS

该项目涉及以下方面的统计方法问题： 实验动物实验的设计、分析和解释 特别是长期致癌性研究。 期间 去年，大量的研究致力于推导和 生存调整方法在致癌性评估中的应用 方面的影响. 其中包括对肿瘤等重要问题的考虑 致命性、死亡原因信息的可用性和数学 基本响应变量的建模。 各种影响 混杂变量（例如，玉米油灌胃;体重差异） 还研究了致癌性研究的解释。 其他 生物学/统计学问题是研究工作的重点 在过去一年中，具体地点和整体的相对优点是 (all研究中心）肿瘤发病率分析， NTP致癌性研究仅产生良性瘤形成（即，与 没有恶性肿瘤的支持证据），并评估 在致癌性研究中，两种化合物 单独和组合测试。

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.