An analytic framework for exploring sampling and observation process biases in genome and phenome-wide association studies using electronic health records.
Large-scale association analyses based on observational health care databases such as electronic health records have been a topic of increasing interest in the scientific community. However, challenges due to nonprobability sampling and phenotype misclassification associated with the use of these da...
| Publicado en: | Statistics in Medicine Vol. 39; no. 14; pp. 1965 - 1980 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/30/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |