migariane / SIM-TMLE-tutorialLinks
Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
☆19Updated 5 years ago
Alternatives and similar repositories for SIM-TMLE-tutorial
Users that are interested in SIM-TMLE-tutorial are comparing it to the libraries listed below
Sorting:
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 5 months ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- ☆34Updated 3 years ago
- ☆27Updated last year
- Targeted Learning for Survival Analysis☆23Updated 2 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 9 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆14Updated 2 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 4 years ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆41Updated last year
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆27Updated 2 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆14Updated last year
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Updated 6 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☆75Updated last month
- Piece-wise exponential Additive Mixed Modeling tools☆51Updated last week
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 4 months ago
- R package cfcausal☆33Updated 3 years ago
- Targeted Maximum Likelihood Estimation for Network Data☆20Updated 8 years ago
- Bayesian DFA with Stan☆29Updated 6 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 4 years ago
- Calculating Marginal Effects and Levels with Errors Using the Delta Method☆17Updated 4 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Tutorials on Stan for Bayesian causal inference☆19Updated 5 months ago
- Estimation of Time-Varying k-order Mixed Graphical Models☆29Updated 9 months ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆80Updated 3 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆24Updated 3 years ago