ArticleLifetime data analysis2023
A boosting first-hitting-time model for survival analysis in high-dimensional settings.
Article in Lifetime data analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Prognostic Model for Survival After Upfront R0 Gastrectomy in Peritoneal Oligometastatic Gastric Cancer.Journal of gastric cancer · 2026Article
- Gradient boosting-based discrete failure time model for selecting time-varying effects and interactions.Lifetime data analysis · 2026Article
- A dependent and censored first hitting-time model with compound Poisson processes.Lifetime data analysis · 2026Article
- Discovering periodontitis biomarkers and therapeutic targets through bioinformatics and ensemble learning analysis.Scientific reports · 2025Article
- Modelling dependent censoring in time-to-event data using boosting copula regression.Lifetime data analysis · 2025Article
- Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process.Lifetime data analysis · 2025Article
- Predicting mortality and recurrence in colorectal cancer: Comparative assessment of predictive models.Heliyon · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
In this paper we propose a boosting algorithm to extend the applicability of a first hitting time model to high-dimensional frameworks. Based on an underlying stochastic process, first hitting time models do not require the proportional hazards assumption, hardly verifiable in the high-dimensional context, and represent a valid parametric alternative to the Cox model for modelling time-to-event responses. First hitting time models also offer a natural way to integrate low-dimensional clinical and high-dimensional molecular information in a prediction model, that avoids complicated weighting schemes typical of current methods. The performance of our novel boosting algorithm is illustrated in three real data examples.
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