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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

Showing 251260 of 472 papers

TitleStatusHype
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins0
Intersection Warning System for Occlusion Risks using Relational Local Dynamic Maps0
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving0
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients0
A Statistical Learning Take on the Concordance Index for Survival Analysis0
Federated Survival ForestsCode0
Towards inferring network properties from epidemic data0
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence0
Heterogeneous Datasets for Federated Survival Analysis SimulationCode0
Deep Clustering Survival Machines with Interpretable Expert DistributionsCode0
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