Journal of Market Access & Health Policy
Volume 7, 2019 - Issue 1
Open access
4,412
Views
30
CrossRef citations to date
0
Altmetric
Original Research Article
Meta-analysis of real-world evidence comparing non-vitamin K antagonist oral anticoagulants with vitamin K antagonists for the treatment of patients with non-valvular atrial fibrillation
Craig I. ColemanSchool of Pharmacy, University of Connecticut, Storrs, CT, USAView further author information
, Jean-Baptiste BriereHealth Economist, Bayer AG, Berlin, GermanyCorrespondence[email protected]
View further author information
, View further author information
Laurent FauchierCardiologie, Centre Hospitalier Universitaire Trousseau et Université François Rabelais, Tours, FranceView further author information
, Pierre LevyLEDa-LEGOS, Université Paris-Dauphine, PSL Research University, Paris, FranceView further author information
, Kevin BowrinHEOR CV, Bayer Plc, Reading, UKView further author information
, Mondher ToumiFaculty of Medicine, University of Aix-Marseille, Marseille, FranceView further author information
, Aurélie MillierHEOR Department, HTA Team, Creativ-Ceutical, Paris, FranceView further author information
, Vanessa TaiebHEOR Department, Evidence Synthesis Team, Creativ-Ceutical, London, UKView further author information
& Olivia WuHEHTA, University of Glasgow, Glasgow, UKView further author information
show all
Article: 1574541
|
Received 04 Sep 2018, Accepted 18 Jan 2019, Published online: 04 Feb 2019
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.