rlirey / psmatchingLinks
Propensity score matching in Python 3
☆27Updated 2 years ago
Alternatives and similar repositories for psmatching
Users that are interested in psmatching are comparing it to the libraries listed below
Sorting:
- ☆105Updated 4 years ago
- A Python package for propensity score matching☆54Updated 4 years ago
- ☆289Updated 2 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Updated 5 months ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- Code for Colangelo and Lee (2025)☆15Updated 8 months ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆91Updated 2 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆62Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆148Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆341Updated last year
- A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.☆65Updated 11 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Causal Inference in Python☆573Updated 4 months ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)☆20Updated 4 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- https://arxiv.org/abs/2009.01561☆23Updated 2 years ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆34Updated last year
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆12Updated 4 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- ☆285Updated 3 years ago
- Breast cancer prediction using causal Inference☆11Updated 4 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 6 months ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- pytorch implementation of dragonnet☆45Updated 3 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆158Updated 4 years ago