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Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification
Electronic health records (EHR) are not designed for population‐based research, but they provide easy and quick access to longitudinal health information for a large number of individuals. Many statistical methods have been proposed to account for selection bias, missing data, phenotyping errors, or...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826451/ https://www.ncbi.nlm.nih.gov/pubmed/36131394 http://dx.doi.org/10.1002/sim.9579 |