Tutorial_Computational_Causal_Inference_Estimators
β39Oct 29, 2021Updated 5 years ago
Alternatives and similar repositories for TutorialComputationalCausalInferenceEstimators
Users that are interested in TutorialComputationalCausalInferenceEstimators are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Publicly available code from my publications πβ20Sep 17, 2026Updated last month
- CRAN Task View: Causal Inferenceβ20Oct 16, 2026Updated 2 weeks ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017β22Jun 12, 2020Updated 6 years ago
- Causal Mediation analysisβ12Oct 13, 2026Updated 2 weeks ago
- Visualization Collider Effect: ShinyAppβ12Dec 18, 2025Updated 10 months ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- causalweight: An R Package for Causal Inference and Mediation Analysisβ16Mar 6, 2019Updated 7 years ago
- π― Targeted Learning in R: A Causal Data Science Handbookβ64Oct 24, 2024Updated 2 years ago
- Code for the R package "EValue" and GUI website.β16Jul 24, 2025Updated last year
- Stata code for part 2 of the book Causal Inference, by Miguel HernΓ‘n and James Robinsβ20Aug 21, 2024Updated 2 years ago
- A sensitivity analysis package for causal effectsβ12Mar 18, 2024Updated 2 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorialβ39Jan 7, 2021Updated 5 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targetedβ¦β27Apr 7, 2022Updated 4 years ago
- Stata Commands and Datasetsβ13Oct 22, 2026Updated last week
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".β27Nov 26, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Machine Learning Estimation of Heterogeneous Causal Effectsβ25Sep 6, 2021Updated 5 years ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-vaβ¦β33May 22, 2026Updated 5 months ago
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-vβ¦β187Nov 3, 2025Updated 11 months ago
- Stata module for plotting regression coefficients and other resultsβ19Aug 22, 2025Updated last year
- a Stata module for machine learning (ML) algorithms, implemented within R using rcall packageβ10May 10, 2023Updated 3 years ago
- Causal mediation and interaction analysis - 4way decomposition - Rscriptβ11Oct 3, 2017Updated 9 years ago
- β17May 12, 2025Updated last year
- Website for Harvard's Gov 50 in Fall 2023β13Sep 19, 2026Updated last month
- R code for implementation of the simulation study described in the paper: "Causal inference in survival analysis using longitudinal obseβ¦β14Oct 1, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Drawing graphical models for causal inference using LaTeXβ122May 5, 2023Updated 3 years ago
- Software used for papers published by CAUSALab membersβ12Oct 23, 2025Updated last year
- R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obserβ¦β13Jul 7, 2023Updated 3 years ago
- lmw: Linear Model Weightsβ11Feb 8, 2024Updated 2 years ago
- sensemakr for Stataβ14Dec 31, 2021Updated 4 years ago
- β24Jan 7, 2025Updated last year
- Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3β185Nov 20, 2022Updated 3 years ago
- π―π Generalized Targeted Learning Frameworkβ43Jun 17, 2025Updated last year
- Targeted Learning for Survival Analysisβ22Nov 19, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean β’ AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- R code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Targetβ¦β11Oct 17, 2019Updated 7 years ago
- Standardised Survival Probabilities, in Rβ11Mar 26, 2024Updated 2 years ago
- π― Targeted Learning of the Causal Effects of Stochastic Interventionsβ17Sep 21, 2024Updated 2 years ago
- Causal Inference: What If. R and Stata code for Exercisesβ96Jul 17, 2026Updated 3 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effectsβ17Oct 20, 2026Updated last week
- Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying cβ¦β30May 11, 2023Updated 3 years ago
- A unique open textbook to teach the nuances of applying advanced epidemiological methods using real data.β24Jun 18, 2026Updated 4 months ago