migariane / TutorialComputationalCausalInferenceEstimatorsLinks
Tutorial_Computational_Causal_Inference_Estimators
☆37Updated 3 years ago
Alternatives and similar repositories for TutorialComputationalCausalInferenceEstimators
Users that are interested in TutorialComputationalCausalInferenceEstimators are comparing it to the libraries listed below
Sorting:
- Publicly available code from my publications 📝☆17Updated last week
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆79Updated 2 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated last week
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆54Updated 2 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆14Updated last month
- WeightIt: an R package for propensity score weighting☆117Updated last month
- CRAN Task View: Causal Inference☆17Updated last week
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 11 months ago
- Causal Inference: What If. R and Stata code for Exercises☆90Updated 4 months ago
- ☆42Updated 4 years ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆17Updated last year
- ☆21Updated 9 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆31Updated 8 months ago
- ☆47Updated 2 years ago
- A suite of functions for reproducible causal mediation analyses☆64Updated 8 months ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆30Updated last month
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- causalweight: An R Package for Causal Inference and Mediation Analysis☆14Updated 6 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- R package that simulates data suitable for fitting Marginal Structural Model.☆13Updated 3 years ago
- Double Machine Learning for Multiple Treatments☆41Updated 4 years ago
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆181Updated 4 months ago
- This repository contains code examples for several methods in a Causal Inference in RCTs short course.☆26Updated 2 months ago
- This the repository for the Spring Causal Inference Course☆45Updated 6 years ago
- ☆26Updated last year
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆19Updated 5 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆26Updated 6 months ago
- R package: CBPS☆28Updated 3 years ago
- Sensitivity analysis tools for causal ML☆18Updated last month