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Accounting for misclassification in electronic health records-derived exposures using generalized linear finite mixture models
Exposures derived from electronic health records (EHR) may be misclassified, leading to biased estimates of their association with outcomes of interest. An example of this problem arises in the context of cancer screening where test indication, the purpose for which a test was performed, is often un...
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| Publicado no: | Health Serv Outcomes Res Methodol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5608281/ https://ncbi.nlm.nih.gov/pubmed/28943779 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10742-016-0149-5 |
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