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Misclassification in administrative claims data: quantifying the impact on treatment effect estimates

Misclassification is present in nearly every epidemiologic study, yet is rarely quantified in analysis in favor of a focus on random error. In this review, we discuss past and present wisdom on misclassification and what measures should be taken to quantify this influential bias, with a focus on bia...

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Bibliografische gegevens
Gepubliceerd in:Curr Epidemiol Rep
Hoofdauteurs: Funk, Michele Jonsson, Landi, Suzanne N.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2014
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4465810/
https://ncbi.nlm.nih.gov/pubmed/26085977
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40471-014-0027-z
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