PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data

OBJECTIVES: This study proposes a novelPrior knowledge guidedIntegrated likelihoodEstimation (PIE) method to correct bias in estimations of associations due to misclassification of electronic health record (EHR)-derived binary phenotypes, and evaluates the performance of the proposed method by compa...

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Enregistré dans:
Détails bibliographiques
Publié dans:J Am Med Inform Assoc
Auteurs principaux: Huang, Jing, Duan, Rui, Hubbard, Rebecca A, Wu, Yonghui, Moore, Jason H, Xu, Hua, Chen, Yong
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2017
Sujets:
Research and Applications
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7378882/
https://ncbi.nlm.nih.gov/pubmed/29206922
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocx137
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