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Tanja Stocks

Tanja Stocks

Researcher

Tanja Stocks

Interpretation of conventional survival analysis and competing risk analysis : An example of hypertension and prostate cancer

Author

  • Christel Häggström
  • Pär Stattin
  • Tanja Stocks
  • Hans Garmo
  • Lars Holmberg
  • Mieke Van Hemelrijck

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