TY - JOUR
T1 - 'Real-world' observational studies in arrhythmia research
T2 - 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)
AU - Torp-Pedersen, Christian
AU - Goette, Andreas
AU - Nielsen, Peter Bronnum
AU - Potpara, Tatjana
AU - Fauchier, Laurent
AU - Camm, Alan John
AU - Arbelo, Elena
AU - Boriani, Giuseppe
AU - Skjoeth, Flemming
AU - Rumsfeld, John
AU - Masoudi, Frederick
AU - Guo, Yutao
AU - Joung, Boyoung
AU - Refaat, Marwan M.
AU - Kim, Young Hoon
AU - Albert, Christine M.
AU - Piccini, Jonathan
AU - Avezum, Alvaro
AU - Lip, Gregory Y.H.
AU - Gorenek, Bulent
AU - Dagres, Nikolaos
AU - Violi, Francesco
AU - Du, Xin
AU - Akao, Masaharu
AU - Choi, Eue Keun
AU - Lopes, Renato D.
AU - Ozcan, Evren Emin
AU - Lane, Deirdre
AU - Marin, Francisco
AU - Gale, Christopher Peter
AU - Vernooy, Kevin
AU - Kudaiberdieva, Gulmira
AU - Kutyifa, Valentina
AU - Traykov, Vassil B.
AU - Guevara, Carolina
AU - Chao, Tze Fan
AU - Al-Khatib, Sana M.
N1 - Funding Information:
The authors thank ESC Scientific Document Group: Dr. Nikolaos Dagres, Dr. Serge Boveda, Dr. Kevin Vernooy, Prof. Zbigniew Kalarus, Prof. Gulmira Kudaiberdieva, Dr. Georges H Mairesse, Prof. Valentina Kutyifa, Prof. Thomas Deneke, Pof. Jesper Hastrup Svendsen, Dr. Vassil B Traykov, Prof. Arthur Wilde, Prof. Frank R. Heinzel.
Publisher Copyright:
© The Author(s) 2019.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - 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.
AB - 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.
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U2 - 10.1093/europace/euz210
DO - 10.1093/europace/euz210
M3 - Article
C2 - 31725156
AN - SCOPUS:85083244598
SN - 1099-5129
VL - 22
SP - 831
EP - 832
JO - Europace
JF - Europace
IS - 5
ER -