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'Real-world' observational studies in arrhythmia research: data sources, methodology, and interpretation. A position document from European Heart Rhythm Association (EHRA), endorsed by Heart Rhythm Society (HRS), Asia-Pacific HRS (APHRS), and Latin America HRS (LAHRS)

Authors
 Torp-Pedersen, Christian  ;  Goette, Andreas  ;  Nielsen, Peter Bronnum  ;  Potpara, Tatjana  ;  Fauchier, Laurent  ;  Camm, Alan John  ;  Arbelo, Elena  ;  Boriani, Giuseppe  ;  Skjoeth, Flemming  ;  Rumsfeld, John  ;  Masoudi, Frederick  ;  Guo, Yutao  ;  Joung, Boyoung  ;  Refaat, Marwan M.  ;  Kim, Young-Hoon  ;  Albert, Christine M.  ;  Piccini, Jonathan  ;  Avezum, Alvaro  ;  Lip, Gregory Y. H.  ;  Gorenek, Bulent  ;  Dagres, Nikolaos  ;  Violi, Francesco  ;  Du, Xin  ;  Akao, Masaharu  ;  Choi, Eue-Keun  ;  Lopes, Renato D.  ;  Ozcan, Evren Emin  ;  Lane, Deirdre  ;  Marin, Francisco  ;  Gale, Christopher Peter  ;  Vernooy, Kevin  ;  Kudaiberdieva, Gulmira  ;  Kutyifa, Valentina  ;  Traykov, Vassil B.  ;  Guevara, Carolina  ;  Chao, Tze-Fan  ;  Al-Khatib, Sana M. 
Citation
 EUROPACE, Vol.22(5) : 831-832, 2020-05 
Journal Title
EUROPACE
ISSN
 1099-5129 
Issue Date
2020-05
Keywords
European Heart Rhythm Association ; EHRA position paper ; Arrhythmias ; Atrial fibrillation ; Epidemiological study ; Real-world observational study ; Registry ; Nationwide cohort ; Database ; Methodology ; Meta-analysis
Abstract
The field of observational studies or "real world studies" is in rapid development with many new techniques introduced and increased understanding of traditional methods. For this reason the current paper provides an overview of current methods with focus on new techniques. Some highlights can be emphasized: We provide an overview of sources of data for observational studies. There is an overview of sources of bias and confounding. Next There is an overview of causal inference techniques that are increasingly used. The most commonly used techniques for statistical modelling are reviewed with focus on the important distinction of risk versus prediction. The final section provides examples of common problems with reporting observational data.
DOI
10.1093/europace/euz210
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Joung, Bo Young(정보영) ORCID logo https://orcid.org/0000-0001-9036-7225
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/185028
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