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Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data

Published Online: 2025-01-27

Authors

Fries, Anya H.

Choi, Eunji

Han, Summer S.
Funding

Funding for this research was provided by:

National Institutes of Health (1R01CA282793, 4R37CA226081)
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Text and Data Mining valid from 2025-01-27

Version of Record valid from 2025-01-27
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Article History

Received: 17 June 2024

Accepted: 21 November 2024

First Online: 27 January 2025

Declarations

:

: Study participants provided informed consent in accordance with the Declaration of Helsinki and the study was approved by the institutional review boards of Stanford University (#61295).

: Not applicable.

: The authors declare no competing interests.

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