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Poisson Regression with Misclassified Counts: Application to Cervical Cancer Mortality Rates
Author(s) -
Whittemore A. S.,
Gong G.
Publication year - 1991
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2347906
Subject(s) - covariate , statistics , poisson regression , regression , poisson distribution , regression analysis , cervical cancer , econometrics , mortality rate , medicine , demography , mathematics , cancer , surgery , environmental health , population , sociology
SUMMARY 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.