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Bias reduction and inference for electronic health record data under selection and phenotype misclassification: three case studies
Electronic Health Records (EHR) are not designed for population-based research, but they provide access to longitudinal health information for many individuals. Many statistical methods have been proposed to account for selection bias, missing data, phenotyping errors, or other problems that arise i...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781342/ https://www.ncbi.nlm.nih.gov/pubmed/33398299 http://dx.doi.org/10.1101/2020.12.21.20248644 |