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Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified

CITE Title : Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified Personal Author(s) : Tang, Li;Lyles, Robert H.;Ye, Ye;Lo, Yungtai;King, Caroline C.; Published Date : Sep 1 2013 Source : Epidemiol Method. 2(1):49-66. URL : https://stacks.cdc.gov/view/cdc/30353 Tang, Li et al. (2013). Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified. 2(1). Tang, Li et al. "Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified" 2, no. 1 (2013) Tang, Li et al. "Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified" vol. 2, no. 1, 2013 Export RIS Citation Information.

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Tang, Li ;

Lyles, Robert H.

Sep 1 2013 | Epidemiol Method. 2(1):49-66.

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The problem of misclassification is common in epidemiological and clinical research. In some cases, misclassification may be incurred when measuring b...

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