Results 11 to 20 of about 25,541,282 (305)
Survival cluster analysis [PDF]
Proceedings of the ACM Conference on Health, Inference, and Learning, 2020 Conventional survival analysis approaches estimate risk scores or individualized time-to-event distributions conditioned on covariates. In practice, there is often great population-level phenotypic heterogeneity, resulting from (unknown) subpopulations with diverse risk profiles or survival distributions. As a result, there is an unmet need in survival
Paidamoyo Chapfuwa +4 more
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Reduction techniques for survival analysis. [PDF]
Lifetime Data AnalAbstract In this work, we discuss what we refer to as reduction techniques for survival analysis, that is, techniques that “reduce” a survival task to a more common regression or classification task, without ignoring the specifics of survival data.
Piller J +8 more
europepmc +4 more sources
Conformalized survival analysis
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023 AbstractIn this paper, we develop an inferential method based on conformal prediction, which can wrap around any survival prediction algorithm to produce calibrated, covariate-dependent lower predictive bounds on survival times. In the Type I right-censoring setting, when the censoring times are completely exogenous, the lower predictive bounds have ...
Emmanuel Candès, Lihua Lei, Zhimei Ren
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barmadaslab/survival-analysis: v2.0
, 2022 Full Changelog: https://github.com/barmadaslab/survival-analysis/commits/v2.
BarmadaLab
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Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators
, 2023 The dominance of non- and semi-parametric methods in survival analysis is not without criticism. Several studies have highlighted the decrease in efficiency compared to parametric methods. We revisit the problem of Asymptotic Relative Efficiency (ARE) of
Szilárd Nemes
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Multiscale Bayesian survival analysis [PDF]
The Annals of Statistics, 2021 We consider Bayesian nonparametric inference in the right-censoring survival model, where modeling is made at the level of the hazard rate. We derive posterior limiting distributions for linear functionals of the hazard, and then for `many' functionals simultaneously in appropriate multiscale spaces.
Castillo, Ismaël +1 more
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Integrated Multi-omics Survival Analysis of Gynecologic and Breast Cancers [PDF]
, 2023 openThis study utilized a multi-omics approach, incorporating gene expression, methylation, copy number variation, and mutation data, to analyze the survival of patients with Breast Carcinoma and Gynecologic Cancers (Ovarian Serous Cystadenocarcinoma ...
ZOLFAGHARI, AMIN
core
Latent diffusion models for survival analysis [PDF]
, 2010 We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate.
Laura M. Sangalli +5 more
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AI-CARE-Consortium/survival-analysis-lung-cancer: v.1.0
, 2023 <p>Code Repository for Lung Cancer Survival Analysis.</p> <p> </p ...
Rudolph, Christiane +8 more
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Genetic parameters for social effects on survival in cannibalistic layers: Combining survival analysis and a linear animal model [PDF]
, 2010 Background Mortality due to cannibalism in laying hens is a difficult trait to improve genetically, because censoring is high (animals still alive at the end of the testing period) and it may depend on both the individual itself and the behaviour of its ...
Veerkamp Roel F +21 more
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