Results 1 to 10 of about 25,673,599 (348)
Conformalized Survival Analysis. [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2021 Existing survival analysis techniques heavily rely on strong modelling assumptions and are, therefore, prone to model misspecification errors. In this paper, we develop an inferential method based on ideas from conformal prediction, which can wrap around
E. Candès, Lihua Lei, Zhimei Ren
semanticscholar +4 more sources
Statistical Methods for Biomedical Research, 2007 Survival analysis is a collection of statistical methods that are used to describe, explain, or predict the occurrence and timing of events. The name survival analysis stems from the fact that these methods were originally developed by biostatisticians ...
D. G. Kleinbaum, D. L. Christensen
semanticscholar +3 more sources
Deep Learning for Survival Analysis: A Review [PDF]
Artificial Intelligence Review, 2023 The influx of deep learning (DL) techniques into the field of survival analysis in recent years has led to substantial methodological progress; for instance, learning from unstructured or high-dimensional data such as images, text or omics data.
Simon Wiegrebe +3 more
semanticscholar +1 more source
SurvTRACE: transformers for survival analysis with competing events [PDF]
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine, 2021 In medicine, survival analysis studies the time duration to events of interest such as mortality. One major challenge is how to deal with multiple competing events (e.g., multiple disease diagnoses).
Zifeng Wang, Jimeng Sun
semanticscholar +1 more source
Diagnostic Histopathology, 2016 AbstractSurvival analysis is the analysis of data involving times to some event of interest. The distinguishing features of survival, or time-to-event, data and the objectives of survival analysis are described. Some fundamental concepts of survival analysis are introduced and commonly used methods of analysis are described.
Tolley, H. D. +2 more
openaire +5 more sources
Journal of Medical Internet Research, 2021 Background Survival analysis is a cornerstone of medical research, enabling the assessment of clinical outcomes for disease progression and treatment efficiency.
A. Lánczky, Balázs Győrffy
semanticscholar +1 more source
Frontiers in Genetics, 2022 Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancer worldwide and seriously threats public health safety. Despite the improvement of diagnostic and treatment methods, the overall survival for advanced patients has not improved ...
Yiyuan Han +4 more
doaj +1 more source
Frontiers in Aging, 2021 Lifespan analyses are important for advancing our understanding of the aging process. There are two major issues in performing lifespan studies: 1) late-stage animal lifespan analysis may include animals with non-terminal, yet advanced illnesses, which ...
Julia Adelöf +6 more
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Computational Prediction of the Pathogenic Status of Cancer-Specific Somatic Variants
Frontiers in Genetics, 2022 In-silico classification of the pathogenic status of somatic variants is shown to be promising in promoting the clinical utilization of genetic tests. Majority of the available classification tools are designed based on the characteristics of germline ...
Nikta Feizi +7 more
doaj +1 more source
Survival analysis of spinal muscular atrophy type I [PDF]
Korean Journal of Pediatrics, 2010 PurposeThe life expectancy of patients with spinal muscular atrophy (SMA) type I is generally considered to be less than 2 years. Recently, with the introduction of proactive treatments, a longer survival and an improved survival rate have been reported.
Hyun Bin Park +6 more
doaj +1 more source