R package for simulation of continuous time Markov chains
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Updated
Nov 23, 2016 - R
R package for simulation of continuous time Markov chains
Event Prediction in Clinical Trials with Time-to-Event Outcomes
Extension to the eventPrediction package for N-piecewise Weibull and lagtimes
ICML 2018: "Adversarial Time-to-Event Modeling"
Code and materials to reproduce graphics in "A generalized additive model approach to time-to-event analysis"
Complete survival analysis helper functions, including stratification, diagnostics and performance checks
Tutorial on survival analysis using TensorFlow.
ACM CHIL 2020: "Survival Cluster Analysis"
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
msmtools introduces a fast and general method for restructuring classical longitudinal datasets into augmented ones.
🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀
Replication syntax for Öney Flores 2019
A probabilistic model to cluster survival data in a variational deep clustering setting
SurvCI & SurvCI-Info:Counterfactual Inference using Balanced Representations for Parametric Deep Survival Analysis
Early-Stage Melanoma Recurrence Prediction
This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.
R package for fitting joint models to time-to-event and longitudinal data
Prepare electronic medical record data from the UK Biobank for time-to-event analyses
Build realistic heterogeneous datasets for federated survival analysis in a reproducible way.
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