| Literature DB >> 31725156 |
Christian Torp-Pedersen1, Andreas Goette2, Peter Bronnum Nielsen1, Tatjana Potpara3,4, Laurent Fauchier5, Alan John Camm6, Elena Arbelo7,8,9, Giuseppe Boriani10, Flemming Skjoeth11, John Rumsfeld12, Frederick Masoudi13, Yutao Guo14, Boyoung Joung15, Marwan M Refaat16, Young-Hoon Kim17, Christine M Albert18, Jonathan Piccini19, Alvaro Avezum20, Gregory Y H Lip21,22.
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. Published on behalf of the European Society of Cardiology. All rights reserved.Entities:
Keywords: Arrhythmias; Atrial fibrillation; Database; EHRA position paper; Epidemiological study; European Heart Rhythm Association; Meta-analysis; Methodology; Nationwide cohort; Real-world observational study; Registry
Mesh:
Year: 2020 PMID: 31725156 DOI: 10.1093/europace/euz210
Source DB: PubMed Journal: Europace ISSN: 1099-5129 Impact factor: 5.214