
Tanja Stocks
Project manager

Interpretation of conventional survival analysis and competing risk analysis : An example of hypertension and prostate cancer
Author
Summary, in English
Most clinical studies use conventional methods for survival analysis and calculate the risk of the event of interest, however, it is important to understand that the study population is also at risk of competing events, for example death from other causes. Moreover, the risk of competing events may be dependent on the participants' characteristics. Whether competing risks are taken into account or not, is of major importance when interpreting study results.Here, we use a practical example to elucidate the interpretational differences of absolute risk estimates obtained with both conventional methods for survival analysis and competing risk analysis. This article is protected by copyright. All rights reserved.
Department/s
- BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
- Diabetes - Cardiovascular Disease
- EpiHealth: Epidemiology for Health
Publishing year
2016-03-31
Language
English
Pages
850-852
Publication/Series
BJU International
Volume
118
Issue
6
Document type
Journal article
Publisher
Wiley-Blackwell
Topic
- Cancer and Oncology
Status
Published
Research group
- Diabetes - Cardiovascular Disease
ISBN/ISSN/Other
- ISSN: 1464-4096