Two-stage sampling for better survival model performance

Abstract Background With the emergence of high-dimensional censored survival data in health and medicine, the use of survival models for risk prediction is increasing. To date, practical techniques exist for splitting data for model training and performance evaluation. While different sampling metho...

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Bibliografski detalji

Glavni autori:	Yunwei Zhang, Samuel Muller
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-10-01
Serija:	BMC Medical Research Methodology
Teme:	Lasso Cox model Simple random sampling Stratified sampling Survival analysis Survival model performance
Online pristup:	https://doi.org/10.1186/s12874-025-02655-6
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