Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership-Reference-Cited by-同舟云学术

Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership

Published:2012-09-27 Issue:30 Volume:31 Page:4401-4415
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Ryan Patrick B.¹²³,Madigan David²⁴,Stang Paul E.¹²,Marc Overhage J.²⁵,Racoosin Judith A.²⁶,Hartzema Abraham G.²⁷

Affiliation:

1. Johnson & Johnson Pharmaceutical Research and Development LLC; Titusville NJ U.S.A.

2. Observational Medical Outcomes Partnership; Foundation for the National Institutes of Health; Bethesda MD U.S.A.

3. UNC Eshelman School of Pharmacy; University of North Carolina at Chapel Hill; Chapel Hill NC U.S.A.

4. Department of Statistics; Columbia University; New York NY U.S.A.

5. Regenstrief Institute and Indiana University School of Medicine; Indianapolis IN U.S.A.

6. Center for Drug Evaluation and Research; U.S. Food and Drug Administration; Silver Spring MD U.S.A.

7. College of Pharmacy; University of Florida; Gainesville FL U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference25 articles.

1. Food and Drug Administration Amendments Act of 2007, Pub. L. No. 110-85, § 905. Public Law 110-85, 110th Congress. [DOCID: f:publ085.110]

2. Medicare and Medicaid EHR Incentive Program, 42 C.F.R. pts 412, 413, 422, and 495 (2010)

3. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership;Stang;Annals of Internal Medicine,2010

4. Surveying US observational data sources and characteristics for drug safety needs;Ryan;Pharmaceutical Medicine,2010

5. Validation of a common data model for active safety surveillance research;Overhage;Journal of American Medical Informatics Association,2012

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