Poisson regression with misclassified counts:  application to cervical cancer.
"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.
Whittemore
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Gong
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D001530:Belgium; D002423:Cause of Death; D003710:Demography; D019049:Developed Countries; D004194:Disease; D004739:England; D005060:Europe; D005602:France; D007558:Italy; D009026:Mortality; D009369:Neoplasms; D011153:Population; D011157:Population Dynamics; D012044:Regression Analysis; D012106:Research; D012107:Research Design; D013223:Statistics as Topic; D006113:United Kingdom; D014852:Wales
Belgium; Cancer; Causes Of Death; Comparative Studies; Data Analysis; Demographic Factors; Developed Countries; Diseases; England; Error Sources; Europe; France; Italy; Measurement; Mediterranean Countries; Mortality; Neoplasms; Northern Europe; Population; Population Dynamics; Research Methodology; Southern Europe; Statistical Regression; Studies; United Kingdom; Wales; Western Europe