Original articleBias due to non-differential misclassification of polytomous confounders
References (13)
- et al.
Air pollution and cancer: risk assessment methodology and epidemiological evidence
Environ Health Perspect
(1978) - et al.
Methods in Observational Epidemiology
(1986) Modern Epidemiology
(1986)- et al.
Estimating and correcting for confounder misclassification
Am J Epidemiol
(1989) The effect of misclassification in the presence of covariates
Am J Epidemiol
(1980)- et al.
Misclassification in case-control studies with two dichotomous risk factors
Rev Epidemiol Sante Publique
(1986)
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