Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models.

Replication syntax for Öney Flores 2019

Time-to-event methods for agriculture

Extension to the eventPrediction package for N-piecewise Weibull and lagtimes

Safety and Efficacy Figures based on ADaM datasets using SAS version 9.4

Discovering Premature Replacements in Predictive Maintenance Time-to-Event Data

Official TensorFlow implementation of Uncertainty Estimation in Deep Bayesian Survival Models (BHI 2023)

GSAMU: Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding: non-Gaussian and time-to-event outcomes

Elements of Survival Analysis in R and Python

Supplementary figures for the article: Preparatory activity links frontal eye field activity with small amplitude motor unit recruitment of neck muscles during gaze planning

Time to event analysis for neural data and motor units used in applied Brain machine interface (BMI)

R package for simulation of continuous time Markov chains

Build realistic heterogeneous datasets for federated survival analysis in a reproducible way.

Probabilistically labelling recurrent vivax infections using time-to-event and microsatellite data

This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.

A survival analysis study of ovarian carcinoma patients involved in clinical trials using R

Code and materials to reproduce graphics in "A generalized additive model approach to time-to-event analysis"

An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).

[CIKM '24] SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks

SurvCI & SurvCI-Info:Counterfactual Inference using Balanced Representations for Parametric Deep Survival Analysis