benkeser / drtmle
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
β19Updated 2 years ago
Alternatives and similar repositories for drtmle:
Users that are interested in drtmle are comparing it to the libraries listed below
- β10Updated 2 years ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptionsβ12Updated 3 years ago
- π― π― Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Interventionβ12Updated 2 years ago
- Longitudinal Targeted Maximum Likelihood Estimation packageβ23Updated last year
- π―π Generalized Targeted Learning Frameworkβ38Updated 3 months ago
- π¦ Your One Stop to Targeted Learning in R with the tlverseβ33Updated 3 years ago
- Targeted Learning for Survival Analysisβ21Updated last year
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targetedβ¦β24Updated 2 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimationβ18Updated 3 weeks ago
- Tools for estimating causal effects for multivariate continuous exposuresβ13Updated 3 years ago
- Comprehensive Cross-Validation Engineβ27Updated 2 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in Rβ23Updated 3 years ago
- Simulate Survival Dataβ23Updated 4 years ago
- β23Updated 11 months ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017β16Updated 4 years ago
- π― Targeted Learning of the Causal Effects of Stochastic Interventionsβ17Updated 5 months ago
- Longitudinal Mediation with Modified Treatment Policiesβ12Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Dataβ40Updated 11 months ago
- An Interface to Specify Causal Graphs and Compute Balke Boundsβ17Updated this week
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Targetβ¦β9Updated 5 years ago
- β31Updated 2 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner bβ¦β20Updated last year
- statistical models to analyze diagnostic testsβ15Updated 4 years ago
- Gamma lasso regressionβ23Updated last year
- π€ πΏ The Highly Adaptive Lassoβ50Updated 3 months ago
- Tools for automatically generating local sensitivity measures in Stan.β35Updated 4 years ago
- Bayesian linear survival analysis with shrinkage priors in Stanβ24Updated 9 years ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGsβ13Updated 5 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methodsβ26Updated 3 months ago
- Bayesian Linear Mixed Effect Modelsβ43Updated this week