Incorporating Linked Healthcare Claims to Improve Confounding Control in a Study of In-Hospital Medication Use
Published 2015 View Full Article
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Title
Incorporating Linked Healthcare Claims to Improve Confounding Control in a Study of In-Hospital Medication Use
Authors
Keywords
Percutaneous Coronary Intervention, Propensity Score, Multiple Imputation, Bivalirudin, Complete Case Analysis
Journal
DRUG SAFETY
Volume 38, Issue 6, Pages 589-600
Publisher
Springer Nature
Online
2015-05-02
DOI
10.1007/s40264-015-0292-x
References
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Note: Only part of the references are listed.- Adjustment for Missing Confounders in Studies Based on Observational Databases: 2-Stage Calibration Combining Propensity Scores From Primary and Validation Data
- (2014) Hui-Wen Lin et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
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- (2012) Sengwee Toh et al. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
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- (2010) S. Schulz et al. EUROPEAN HEART JOURNAL
- Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example
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- Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values
- (2010) Ian R. White et al. STATISTICS IN MEDICINE
- Safety and effectiveness of bivalirudin in routine care of patients undergoing percutaneous coronary intervention
- (2009) J. A. Rassen et al. EUROPEAN HEART JOURNAL
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- Bivalirudin during Primary PCI in Acute Myocardial Infarction
- (2008) Gregg W. Stone et al. NEW ENGLAND JOURNAL OF MEDICINE
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