tlverse / tmle3shift
🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
☆17Updated 6 months ago
Alternatives and similar repositories for tmle3shift:
Users that are interested in tmle3shift are comparing it to the libraries listed below
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆24Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆12Updated 2 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆38Updated 4 months ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆17Updated 3 weeks ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆19Updated 2 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- ☆23Updated 11 months ago
- R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…☆10Updated last year
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Target…☆9Updated 5 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆11Updated 3 months ago
- Tools for Flexible Survival Analysis Using Machine Learning☆17Updated this week
- Non-parametric Causal Effects Based on Modified Treatment Policies☆63Updated 2 weeks ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 5 months ago
- Targeted Learning for Survival Analysis☆20Updated last year
- 🤠 📿 The Highly Adaptive Lasso☆50Updated 4 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.☆19Updated 4 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 3 years ago
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆35Updated 8 months ago
- ☆31Updated 2 years ago
- Simulate Survival Data☆23Updated 4 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆67Updated 8 months ago
- ☆15Updated 9 months ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆23Updated last year
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 3 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆12Updated 2 years ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- Propensity score Matching and Subclassification with 3 or more Treatments☆20Updated 5 years ago