Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases.
<h4>Background</h4>Confounding by disease severity is an issue in pharmacoepidemiology studies of rheumatoid arthritis (RA), due to channeling of sicker patients to certain therapies. To address the issue of limited clinical data for confounder adjustment, a patient-level prediction model to differe...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science (PLoS)
2019-01-01
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| Sarja: | PLoS ONE |
| Linkit: | https://doi.org/10.1371/journal.pone.0226255 |
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