tlverse / tmle3shift
🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
☆16Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for tmle3shift
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆23Updated 2 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆35Updated last week
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆19Updated last year
- Tools for Flexible Survival Analysis Using Machine Learning☆15Updated this week
- 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
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆15Updated 4 years ago
- 🤠 📿 The Highly Adaptive Lasso☆49Updated this week
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆11Updated 2 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆15Updated last month
- Targeted Learning for Survival Analysis☆20Updated last year
- ☆21Updated 7 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 2 years ago
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆12Updated 2 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆57Updated 3 weeks ago
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆34Updated 4 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆61Updated this week
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆17Updated 2 months ago
- Simulate Survival Data☆23Updated 3 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆31Updated 2 months ago
- R & Stan code associated with my "Bayes Days" workshop☆14Updated 8 years ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆12Updated 3 years ago
- ☆31Updated 2 years ago
- Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values☆28Updated 7 months ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 3 years ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆38Updated 7 months ago
- ☆12Updated 5 months ago
- Regression Modeling Strategies Bayesian☆16Updated last month
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 2 months ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆23Updated last year