migariane / SIM-TMLE-tutorial
Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
β16Updated 4 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
- β31Updated 2 years ago
- An Interface to Specify Causal Graphs and Compute Balke Boundsβ17Updated last month
- π―π Generalized Targeted Learning Frameworkβ39Updated 4 months ago
- Longitudinal Targeted Maximum Likelihood Estimation packageβ23Updated last year
- β24Updated last year
- Targeted Learning for Survival Analysisβ20Updated last year
- π¦ Your One Stop to Targeted Learning in R with the tlverseβ33Updated 3 years ago
- Tools for estimating causal effects for multivariate continuous exposuresβ13Updated 3 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applicationsβ68Updated 8 months ago
- Targeted Maximum Likelihood Estimation for Network Dataβ20Updated 7 years ago
- π― π― Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Interventionβ13Updated 2 years ago
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Dataβ41Updated last year
- 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
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effectsβ13Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimationβ18Updated 2 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targetedβ¦β24Updated 3 years ago
- This the repository for the Spring Causal Inference Courseβ42Updated 5 years ago
- π― Targeted Learning of the Causal Effects of Stochastic Interventionsβ17Updated 6 months ago
- An R package for estimating controlled direct effects.β18Updated last month
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methodsβ26Updated 4 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effectsβ61Updated 4 years ago
- Piece-wise exponential Additive Mixed Modeling toolsβ48Updated this week
- β20Updated 6 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.β11Updated 4 months ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis testsβ19Updated 2 years ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGsβ13Updated 5 years ago
- Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the β¦β42Updated last month
- R package providing diagnostic tools for multilevel modelsβ17Updated 3 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.β34Updated 3 years ago
- Joint Models for Longitudinal & Survival Data under Maximum Likelihoodβ35Updated 9 months ago