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Bayesian Elastic‑Net Cox Models for Time‑to‑Event Prediction: Application with Breast‑Cancer Cohort

2026-01-06

Abstract excerpt

High-dimensional survival analyses require calibrated risk and honest uncertainty, but standard elastic-net Cox models yield only point estimates. We develop a fully Bayesian elastic-net Cox (BEN–Cox) modelfor high-dimensional proportional hazards regression that places a hierarchical global–local shrinkage prior on coefficients and performs full Bayesian inference via Hamiltonian Monte Carlo. We represent the ela...

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Literature Corpus work
636f6dc8-3bf3-5b18-b240-a788dee1364a
DOI
10.20944/preprints202601.0166.v1
Open publication

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Bayesian Elastic‑Net Cox Models for Time‑to‑Event Prediction: Application with Breast‑Cancer CohortDOI 10.20944/preprints202601.0166.v1
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