Validation of discrete time-to-event prediction models in the presence of competing risks.
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ABSTRACT:
SUBMITTER: Heyard R
PROVIDER: S-EPMC7217187 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
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Validation of discrete time-to-event prediction models in the presence of competing risks.
Heyard Rachel R Timsit Jean-François JF Held Leonhard L
Biometrical journal. Biometrische Zeitschrift 20190731 3
Clinical prediction models play a key role in risk stratification, therapy assignment and many other fields of medical decision making. Before they can enter clinical practice, their usefulness has to be demonstrated using systematic validation. Methods to assess their predictive performance have been proposed for continuous, binary, and time-to-event outcomes, but the literature on validation methods for discrete time-to-event models with competing risks is sparse. The present paper tries to fi ...[more]
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