Accounting for Misclassification in the Cause-of-Death Test for Carcinogenicity
针对死因检验中病理学家主观判断导致的误分类问题，提出一种基于缺失数据公式的简单直观修正方法，允许对误分类概率进行敏感性分析或从数据中估计，并应用于ED01实验数据。
Abstract The cause-of-death test (Peto 1974; Peto et al. 1980) provides a test for carcinogenicity without requiring extreme lethality assumptions. The approach has been criticized, however, because cause-of-death determinations require subjective decisions by pathologists and may be unreliable. Using a missing data formulation, we derive a simple, intuitive modification of the test that allows for misclassification of cause of death. The modified statistic is a function of the misclassification probabilities. A sensitivity analysis may be performed using a plausible range of values for these probabilities or, in certain situations, the misclassification probabilities can be estimated from the data. Both approaches are applied to data from the ED01 experiment.