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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Detalles Bibliográficos
Autores principales: Huang, Jing, Duan, Rui, Hubbard, Rebecca A, Wu, Yonghui, Moore, Jason H, Xu, Hua, Chen, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378882/
https://www.ncbi.nlm.nih.gov/pubmed/29206922
http://dx.doi.org/10.1093/jamia/ocx137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378882/
https://www.ncbi.nlm.nih.gov/pubmed/29206922
http://dx.doi.org/10.1093/jamia/ocx137

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