chl8856 / survITELinks
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
☆20Updated 4 years ago
Alternatives and similar repositories for survITE
Users that are interested in survITE are comparing it to the libraries listed below
Sorting:
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆12Updated 4 years ago
- A small wrapper package that enables full survival curve estimation using xgboost☆20Updated last year
- ☆29Updated 3 years ago
- Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox propor…☆33Updated 2 months ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆95Updated 2 years ago
- Propensity score Matching and Subclassification with 3 or more Treatments☆21Updated 6 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- ☆61Updated 6 months ago
- Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (…☆27Updated 2 months ago
- Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021☆29Updated 3 years ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated 3 weeks ago
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis☆28Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆77Updated 2 months ago
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆63Updated 2 years ago
- R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…☆13Updated 2 years ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆30Updated last month
- Tutorial_Computational_Causal_Inference_Estimators☆38Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 10 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- This repository contains code examples for several methods in a Causal Inference in RCTs short course.☆26Updated 5 months ago
- ☆44Updated 4 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆29Updated 2 weeks ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".☆23Updated 4 years ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 7 years ago
- Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package☆60Updated last year
- ☆13Updated 3 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago