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Health administrative data enrichment using cohort information: Comparative evaluation of methods by simulation and application to real data
BACKGROUND: Studies using health administrative databases (HAD) may lead to biased results since information on potential confounders is often missing. Methods that integrate confounder data from cohort studies, such as multivariate imputation by chained equations (MICE) and two-stage calibration (T...
שמור ב:
| הוצא לאור ב: | PLoS One |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Public Library of Science
2019
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6354983/ https://ncbi.nlm.nih.gov/pubmed/30703112 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0211118 |
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