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Errors in the necessary information (e.g., in exposure measurement) that are related to the state of disease. This type of misclassification has more serious consequences than the nondifferential or random misclassification. It can lead to either underestimation or overestimation of the effect.<\/p>\n

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Errors in the necessary information (e.g., in exposure measurement) that are related to the state of disease. This type of misclassification has more serious consequences than the nondifferential or random misclassification. It can lead to either underestimation or overestimation of the effect.  <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-105856","post","type-post","status-publish","format-standard","hentry","category-d"],"yoast_head":"\nDifferential misclassification - Definition of Differential misclassification<\/title>\n<meta name=\"description\" content=\"Errors in the necessary information (e.g., in exposure measurement) that are related to the state of disease. This type of misclassification has more serious consequences than the nondifferential or random misclassification. 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