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Survival Analysis

Survival Analysis is a branch of statistics focused on the study of time-to-event data, usually called survival times. This type of data appears in a wide range of applications such as failure times in mechanical systems, death times of patients in a clinical trial or duration of unemployment in a population. One of the main objectives of Survival Analysis is the estimation of the so-called survival function and the hazard function. If a random variable has density function $f$ and cumulative distribution function $F$, then its survival function $S$ is $1-F$, and its hazard $λ$ is $f/S$.

Source: Gaussian Processes for Survival Analysis

Image: Kvamme et al.

Papers

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Showing 451–472 of 472 papers

TitleStatusHype
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU NetworksCode0
Conformalized Survival AnalysisCode0
SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/RecordsCode0
Inverse-Weighted Survival GamesCode0
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing ValuesCode0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Structured Learning in Time-dependent Cox ModelsCode0
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal LearningCode0
Conditioning on Time is All You Need for Synthetic Survival Data GenerationCode0
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion ProcessesCode0
Learning Genomic Representations to Predict Clinical Outcomes in CancerCode0
Predicting Survival Time of Ball Bearings in the Presence of CensoringCode0
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival AnalysisCode0
Learning to rank for censored survival dataCode0
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient MortalityCode0
Adaptive Transformer Modelling of Density Function for Nonparametric Survival AnalysisCode0
Transformer-based Time-to-Event Prediction for Chronic Kidney Disease DeteriorationCode0
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival DataCode0
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival AnalysisCode0
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival AnalysisCode0
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention MechanismsCode0
Adaptive Prototype Learning for Multimodal Cancer Survival AnalysisCode0
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