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

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.

BJU international. 2016 Mar 31 [Epub ahead of print]

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

Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Umeå, Sweden., Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Umeå, Sweden., Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Umeå, Sweden., Regional Cancer Centre Uppsala/Örebro, Uppsala, Sweden., Department of Surgical Sciences, Uppsala University, Uppsala, Sweden., King's College London, Division of Cancer Studies, Cancer Epidemiology Group, London, UK.

E-Newsletters

Newsletter subscription

Free Daily and Weekly newsletters offered by content of interest

The fields of GU Oncology and Urology are rapidly advancing. Sign up today for articles, videos, conference highlights and abstracts from peer-review publications by disease and condition delivered to your inbox and read on the go.

Subscribe