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
An Approach for Clustering Subjects According to Similarities in Cell Distributions within Biopsies—0
A network-constrain Weibull AFT model for biomarkers discovery—0
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group—0
An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes—0
An RNN-Survival Model to Decide Email Send Times—0
Assumption-Free Survival Analysis Under Local Smoothness Prior—0
A State Transition Model for Mobile Notifications via Survival Analysis—0
A Statistical Learning Take on the Concordance Index for Survival Analysis—0
Attention-Based Synthetic Data Generation for Calibration-Enhanced Survival Analysis: A Case Study for Chronic Kidney Disease Using Electronic Health Records—0
A unified construction for series representations and finite approximations of completely random measures—0
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss—0
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data—0
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values—0
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients—0
Better Approximate Inference for Partial Likelihood Models with a Latent Structure—0
Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs—0
CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysis—0
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images—0
Causal Inference for Survival Analysis—0
Child Care Provider Survival Analysis—0
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles—0
Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia—0
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks—0
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging—0
Combining multi-site Magnetic Resonance Imaging with machine learning predicts survival in paediatric brain tumours—0
Show:102550
← PrevPage 13 of 19Next →

No leaderboard results yet.