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Cited by 625

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Prognostic Models With Competing Risks: Methods and Application to Coronary Risk Prediction

Wolbers, Marcel, Koller, Michael T., Witteman, Jacqueline C. M., Steyerberg, Ewout W.·2009·Epidemiology
DOI 10.1097/ede.0b013e3181a39056
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Abstract

Clinical decision-making often relies on a subject's absolute risk of a disease event of interest. However, in a frail population, competing risk events may preclude the occurrence of the event of interest. We review competing-risk regression models with a view toward predictive modeling. We show how measures of prognostic performance (such as calibration and discrimination) can be adapted to the competing-risks setting. An example of coronary heart disease (CHD) prediction in women aged 55-90 years in the Rotterdam study is used to illustrate the proposed methods, and to compare the Fine and Gray regression model to 2 alternative approaches: (1) a standard Cox survival model, which ignores the competing risk of non-CHD death, and (2) a cause-specific hazards model, which combines proportional hazards models for the event of interest and the competing event. The Fine and Gray model and the cause-specific hazards model perform similarly. However, the standard Cox model substantially overestimates 10-year risk of CHD; it classifies 18% of the individuals as high risk (>20%), compared with only 8% according to the Fine and Gray model. We conclude that competing risks have to be considered explicitly in frail populations such as the elderly.

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Metadata

Authors
Wolbers, M., Koller, M. T., Witteman, J. C. M., & Steyerberg, E. W.
Venue
Epidemiology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2009-07
Volume
20
Issue
4
Pages
555-561
ISSN
1044-3983 (ISSN-L)
DOI
10.1097/ede.0b013e3181a39056
OpenAlex
W1992557526
Cited by
625
References
7
FWCI
11.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prognostic Models With Competing Risks: Methods and Application to Coronary Risk Prediction. https://app.cochat.ai/papers/10.1097/ede.0b013e3181a39056
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Wolbers, M., Koller, M. T., Witteman, J. C. M., & Steyerberg, E. W. (2009). Prognostic Models With Competing Risks: Methods and Application to Coronary Risk Prediction. Epidemiology. https://doi.org/10.1097/ede.0b013e3181a39056

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.