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Cardiovascular

Bleeding risk of apixaban, dabigatran, and low-dose rivaroxaban compared with warfarin in Japanese patients with non-valvular atrial fibrillation: a propensity matched analysis of administrative claims data

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Pages 1955-1963 | Received 26 Jul 2017, Accepted 23 Aug 2017, Published online: 12 Sep 2017

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Ryoko Suzuki, Jun Katada, Sreeram Ramagopalan & Laura McDonald. (2020) Potential of Machine Learning Methods to Identify Patients With Nonvalvular Atrial Fibrillation. Future Cardiology 16:1, pages 43-52.
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Ameenathul M. Fawzy, Wang-Yang Yang & Gregory YH. Lip. (2019) Safety of direct oral anticoagulants in real–world clinical practice: translating the trials to everyday clinical management. Expert Opinion on Drug Safety 18:3, pages 187-209.
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Toru OGURA. (2018) The role of statistics analysis in clinical and database research on venous thromboembolism静脈血栓塞栓症の臨床研究とデータベース研究における統計学の役割. Japanese Journal of Thrombosis and Hemostasis 29:4, pages 374-378.
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Zhimin Dong, Xiaoxia Hou, Xin Du, Liu He, Jianzeng Dong & Changsheng Ma. (2022) Effectiveness and Safety of Rivaroxaban and Dabigatran in Non-Valvular Atrial Fibrillation Patients Undergoing Catheter Ablation: Results from the China Atrial Fibrillation (China-AF) Registry. SSRN Electronic Journal.
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