ck37 / atlantic-causal-2017
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
☆12Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for atlantic-causal-2017
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 3 months ago
- ☆92Updated 10 months ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆103Updated 3 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆64Updated 4 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆58Updated 4 years ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- ☆42Updated 3 years ago
- ☆31Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆153Updated 3 years ago
- Causal Inference: What If. R and Stata code for Exercises☆87Updated last week
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 2 months ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆106Updated 11 months ago
- WeightIt: an R package for propensity score weighting☆102Updated last week
- Bayesian Causal Forests☆40Updated 6 months ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆52Updated 7 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆80Updated 6 years ago
- Counterfactual Regression☆297Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆304Updated last month
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆84Updated last year
- R Wrapper for Tetrad Library☆35Updated 2 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆128Updated 5 months ago
- Causal Effect Inference with Deep Latent-Variable Models☆327Updated 4 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated 8 months ago
- ☆39Updated last year
- Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data☆38Updated 7 months ago
- Policy learning via doubly robust empirical welfare maximization over trees☆77Updated 5 months ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 3 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated this week
- Approximately balanced estimation of average treatment effects in high dimensions.☆33Updated 3 years ago
- Methods for Specifying, Simulating from and Fitting Causal Models☆12Updated last month