SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 472 papers

TitleStatusHype
Survival Analysis on Structured Data using Deep Reinforcement Learning—0
Hazard Gradient Penalty for Survival Analysis—0
Flexible Group Fairness Metrics for Survival AnalysisCode0
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis—0
Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture—0
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks—0
Calibration Error for Heterogeneous Treatment EffectsCode0
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction modelsCode0
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications—0
Dynamic Survival Analysis for non-Markovian Epidemic ModelsCode0
Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy—0
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis—0
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data—0
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival RiskCode0
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction—0
Pricing Time-to-Event Contingent Cash Flows: A Discrete-Time Survival Analysis Approach—0
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measuresCode0
Deep Extended Hazard Models for Survival Analysis—0
Inverse-Weighted Survival GamesCode0
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural NetworksCode0
Survival-oriented embeddings for improving accessibility to complex data structures—0
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation—0
Predictive factors associated with survival rate of cervical cancer patients in Brunei Darussalam—0
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards—0
Show:102550
← PrevPage 13 of 19Next →

No leaderboard results yet.