ArticleLifetime data analysis2021
The added value of new covariates to the brier score in cox survival models.
Article in Lifetime data analysis, 2021. 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Article
- An ethics-informed computable audit framework for monitoring misdiagnosis risk in AI-assisted diagnosis.Scientific reports · 2026Article
- HCLmNet: A unified hybrid continual learning strategy multimodal network for lung cancer survival prediction.PloS one · 2026Article
- CINSARC and Sarculator in Patients with Primary Retroperitoneal Sarcoma: A Combined Analysis of Single-Institution Data and the EORTC-STBSG-62092 Trial (STRASS).Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Survival parametric modeling for patients with heart failure based on Kernel learning.BMC medical research methodology · 2025Article
- A novel machine learning prediction model for metastasis in breast cancer.Cancer reports (Hoboken, N.J.) · 2024Article
- Developing an Improved Survival Prediction Model for Disease Prognosis.Biomolecules · 2022Article
Corrections and comments
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Abstract
Calibration is an important measure of the predictive accuracy for a prognostic risk model. A widely used measure of calibration when the outcome is survival time is the expected Brier score. In this paper, methodology is developed to accurately estimate the difference in expected Brier scores derived from nested survival models and to compute an accompanying variance estimate of this difference. The methodology is applicable to time invariant and time-varying coefficient Cox survival models. The nested survival model approach is often applied to the scenario where the full model consists of conventional and new covariates and the subset model contains the conventional covariates alone. A complicating factor in the methodologic development is that the Cox model specification cannot, in general, be simultaneously satisfied for nested models. The problem has been resolved by projecting the properly specified full survival model onto the lower dimensional space of conventional markers alone. Simulations are performed to examine the method's finite sample properties and a prostate cancer data set is used to illustrate its application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.