Poisson Regression with Misclassified Counts: Application to Cervical Cancer Mortality Rates
研究了疾病分类错误与协变量相关时如何影响推断，并利用补充数据改进欧洲四国宫颈癌死亡率回归分析，发现观察到的国家间差异部分由死亡证明错误夸大，但并非完全由此解释。
"Errors in disease classification can give misleading inferences for covariate effects when the probability of error is itself related to the covariates. More accurate inferences are possible using supplemental data on both true and fallible disease counts at various covariate levels. We present a method for incorporating such supplemental data into disease rate regression and use it to show that, although observed intercountry differences in European cervical cancer mortality rates are exaggerated by errors in death certification, they are not completely explained by such errors." The data concern Belgium, England and Wales, France, and Italy.