Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records

ABSTRACT Purpose A semi‐automated high‐dimensional propensity score (hd‐PS) algorithm has been proposed to adjust for confounding in claims databases. The feasibility of using this algorithm in other types of healthcare databases is unknown. Methods We estimated the comparative safety of traditional...

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Veröffentlicht in:	Pharmacoepidemiology and drug safety 2011-08, Vol.20 (8), p.849-857
Hauptverfasser:	Toh, Sengwee, García Rodríguez, Luis A., Hernán, Miguel A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Aged, 80 and over Algorithms Anti-Inflammatory Agents, Non-Steroidal - adverse effects confounding Confounding Factors (Epidemiology) Cyclooxygenase 2 Inhibitors - adverse effects Databases, Factual - statistics & numerical data Electronic Health Records - statistics & numerical data Female Gastrointestinal Hemorrhage - chemically induced Gastrointestinal Hemorrhage - epidemiology Gastrointestinal Hemorrhage - etiology Humans Male Middle Aged pharmacoepidemiology Pharmacoepidemiology - methods Propensity Score propensity score analysis Risk Factors THIN United Kingdom
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