LauraBalzer / HierarchicalTMLE
R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure", Balzer et al. SMMR 2018.
☆9Updated 5 years ago
Alternatives and similar repositories for HierarchicalTMLE:
Users that are interested in HierarchicalTMLE are comparing it to the libraries listed below
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆12Updated 3 years ago
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆12Updated 2 years ago
- Bayesian Linear Mixed Effect Models☆43Updated 2 weeks ago
- ☆23Updated 11 months ago
- 🎯🎓 Generalized Targeted Learning Framework☆38Updated 3 months ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆23Updated last year
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Comprehensive Cross-Validation Engine☆27Updated 2 years ago
- Targeted Learning for Survival Analysis☆21Updated last year
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Diagnostics for confounding of time-varying and other joint exposures☆10Updated 2 years ago
- Quick Generalized Full Matching in R☆11Updated last year
- ☆9Updated 8 years ago
- Simulate Survival Data☆23Updated 4 years ago
- Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).☆18Updated 2 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated 11 months ago
- R package providing diagnostic tools for multilevel models☆17Updated 3 years ago
- Targeted Maximum Likelihood Estimation for Network Data☆20Updated 7 years ago
- timereg R package, survival analysis methods☆31Updated 6 months ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆11Updated 3 months ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆12Updated 2 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆19Updated 2 years ago
- R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis☆29Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- Longitudinal Mediation with Modified Treatment Policies☆12Updated last year
- Size-constrained Clustering in R☆31Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆40Updated 11 months ago
- R package for fitting joint models to time-to-event and longitudinal data☆18Updated 2 months ago
- R package with tools for distance metrics☆17Updated last year