Inference about time-dependent prognostic accuracy measures in the presence of competing risks

Inference about time-dependent prognostic accuracy measures in the presence of competing risks

Abstract Background Evaluating a candidate marker or developing a model for predicting risk of future conditions is one of the major goals in medicine. However, model development and assessment for a time-to-event outcome may be complicated in the presence of competing risks. In this manuscript, we...

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Bibliographic Details
Main Authors: Rajib Dey, Giada Sebastiani, Paramita Saha-Chaudhuri
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Medical Research Methodology
Subjects:
Competing Risks
Area under the ROC curve (AUC)
Cause-specific AUC
Fractional Polynomials
Online Access:http://link.springer.com/article/10.1186/s12874-020-01100-0

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http://link.springer.com/article/10.1186/s12874-020-01100-0

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