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.
Bibliographical noteFunding 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.
© The Author(s) 2019.
All Science Journal Classification (ASJC) codes
- Cardiology and Cardiovascular Medicine
- Physiology (medical)