Analysis of Multivariate Event Times https://kkholst.github.io/mets/
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Updated
May 31, 2024 - R
Analysis of Multivariate Event Times https://kkholst.github.io/mets/
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
Elements of Survival Analysis in R and Python
Survival analysis in Julia
Causal Effects in Principal Strata Defined by Antidrug Antibodies
Explainable Machine Learning in Survival Analysis
A survival analysis study of ovarian carcinoma patients involved in clinical trials using R
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
Time-to-event methods for agriculture
Official TensorFlow implementation of Uncertainty Estimation in Deep Bayesian Survival Models (BHI 2023)
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Probabilistically labelling recurrent vivax infections using time-to-event and microsatellite data
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
Datasets for Predictive Maintenance
Safety and Efficacy Figures based on ADaM datasets using SAS version 9.4
Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models.
Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.
SurvTRACE: Transformers for Survival Analysis with Competing Events
Discovering Premature Replacements in Predictive Maintenance Time-to-Event Data
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