SUwonglab/CausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

Language: Python - Size: 1.85 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 52 - Forks: 8

rdpackages/rdlocrand

Finite-sample inference for RD designs using local randomization and related methods.

Language: Stata - Size: 4.43 MB - Last synced: 18 days ago - Pushed: 4 months ago - Stars: 6 - Forks: 6

rdpackages/rdmulti

Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.

Language: Stata - Size: 7.27 MB - Last synced: 19 days ago - Pushed: 5 months ago - Stars: 3 - Forks: 8

py-why/EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Language: Jupyter Notebook - Size: 43.1 MB - Last synced: 27 days ago - Pushed: 30 days ago - Stars: 3,545 - Forks: 675

rdpackages/rdrobust

Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.

Language: Stata - Size: 10.6 MB - Last synced: 14 days ago - Pushed: 3 months ago - Stars: 65 - Forks: 37

py-why/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Language: Python - Size: 585 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 6,714 - Forks: 906

100Shapes/react-wobbly-text

Experimental React component for an interactive spinning text treatment

Language: JavaScript - Size: 3.64 MB - Last synced: about 2 months ago - Pushed: about 6 years ago - Stars: 2 - Forks: 1

AliciaCurth/CATENets

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

Language: Python - Size: 292 KB - Last synced: about 2 months ago - Pushed: 9 months ago - Stars: 108 - Forks: 21

phoenix-w/BA830-Causal-Experiment

Team project for BA830 (Business Experimentation and Causal Methods)

Size: 2.19 MB - Last synced: 2 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

tlverse/causalglm

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Language: R - Size: 7.27 MB - Last synced: 2 months ago - Pushed: about 2 years ago - Stars: 17 - Forks: 0

jvpoulos/causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

Size: 81.1 KB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 596 - Forks: 109

cran-task-views/CausalInference

CRAN Task View: Causal Inference

Language: R - Size: 4.14 MB - Last synced: about 2 months ago - Pushed: 10 months ago - Stars: 14 - Forks: 5

nhejazi/medoutcon

:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects

Language: R - Size: 824 KB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 11 - Forks: 4

QuantLet/Meta_learner-for-Causal-ML Fork of DanielAubin/Meta_learner-for-Causal-ML

This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.

Language: R - Size: 4.03 MB - Last synced: 22 days ago - Pushed: about 3 years ago - Stars: 30 - Forks: 20

duketemon/pyuplift

Lightweight uplift modeling framework for Python

Language: Jupyter Notebook - Size: 750 KB - Last synced: 29 days ago - Pushed: over 4 years ago - Stars: 28 - Forks: 3

wwiecek/baggr

R package for Bayesian meta-analysis models, using Stan

Language: R - Size: 12.8 MB - Last synced: 2 months ago - Pushed: 3 months ago - Stars: 44 - Forks: 12

andrewtavis/causeinfer

Machine learning based causal inference/uplift in Python

Language: Python - Size: 14.3 MB - Last synced: 24 days ago - Pushed: 6 months ago - Stars: 55 - Forks: 11

Open-All-Scale-Causal-Engine/OpenASCE

OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.

Language: Python - Size: 7.86 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 36 - Forks: 3

kailiang-zhong/DESCN

Implementation of paper DESCN, which is accepted in SIGKDD 2022.

Language: Jupyter Notebook - Size: 707 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 36 - Forks: 9

annastavniychuk/AppliedEconometricsMSU

Course of Causal Inference at the Faculty of Economics of Lomonosov Moscow State University (In Russian)

Size: 48.9 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 6 - Forks: 0

rdpackages/rddensity

Manipulation testing using local polynomial density methods.

Language: Stata - Size: 4.71 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 9 - Forks: 8

rdpackages/rdpower

Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.

Language: Stata - Size: 3.73 MB - Last synced: 21 days ago - Pushed: 11 months ago - Stars: 3 - Forks: 2

rdpackages/rdpackages.github.io

Regression Discontinuity Design Software Packages

Language: CSS - Size: 51.3 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 11 - Forks: 9

nhejazi/medshift

:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions

Language: R - Size: 784 KB - Last synced: 7 months ago - Pushed: almost 1 year ago - Stars: 8 - Forks: 3

stefanie-baerthel/combinatorial_treatment_analysis

KRAS-mutant pancreatic ductal adenocarcinoma (PDAC) is highly immunosuppressive and resistant to targeted therapies, immune checkpoint blockade and engineered T cells. In this study, we performed a systematic high throughput combinatorial drug screen and identified a synergistic interaction between the MEK inhibitor trametinib and the multi- kinase inhibitor nintedanib. Using single cell RNA sequencing and immunophenotyping, we show that the combination therapy reprograms the immunosuppressive microenvironment and primes cytotoxic and memory T cells to infiltrate the tumors, thereby sensitizing mesenchymal PDAC to PD-L1 inhibition.

Language: Jupyter Notebook - Size: 70.7 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

marmarelis/TreatmentCurves.jl

Accounting for hidden confounders in estimates of dose-response curves from observational data.

Language: Julia - Size: 20.5 KB - Last synced: 7 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

sokbae/persuasio

Estimating the Effect of Persuasion in Stata

Language: Stata - Size: 2.23 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

puhazoli/asbe

Automatic Stopping for Batch-mode Experimentation

Language: Jupyter Notebook - Size: 3.6 MB - Last synced: 13 days ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

gdmarmerola/cfml_tools

My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context

Language: Python - Size: 23.4 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 25 - Forks: 3

vanderschaarlab/mcm Fork of jeroenbe/mcm

To Impute or not to Impute? Missing Data in Treatment Effect Estimation

Language: Jupyter Notebook - Size: 20.5 KB - Last synced: 7 days ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

vanderschaarlab/clairvoyance2

clairvoyance2: a Unified Toolkit for Medical Time Series

Language: Python - Size: 430 KB - Last synced: 7 days ago - Pushed: 12 months ago - Stars: 1 - Forks: 1

kkranker/psweight

IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)

Language: Stata - Size: 250 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 4 - Forks: 2

rlpacheco/abseff

Stata command abseff (immediate calculation of absolute effects from relative treatment estimates)

Language: Stata - Size: 57.6 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

rguo12/CIKM18-LCVA

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Language: Python - Size: 47.8 MB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 14 - Forks: 5

Larsvanderlaan/causalHAL

Adaptive debiased machine learning of treatment effects with the highly adaptive lasso

Language: R - Size: 274 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 8 - Forks: 1

jaredhuling/personalized

Methods for subgroup identification / personalized medicine / individualized treatment rules

Language: R - Size: 21.7 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 29 - Forks: 18

tlverse/tmle3shift

🎯 :game_die: Targeted Learning of the Causal Effects of Stochastic Interventions

Language: R - Size: 472 KB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 14 - Forks: 1

SkadiEye/deepTL

Deep Treatment Learning (R)

Language: R - Size: 3.72 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 13 - Forks: 1

rguo12/network-deconfounder-wsdm20

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Language: Python - Size: 15.5 MB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 60 - Forks: 9

tlverse/tmle3mediate

🎯 :twisted_rightwards_arrows: Targeted Learning for Causal Mediation Analysis

Language: R - Size: 4.62 MB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 0

sschrod/BITES

BITES: Balanced Individual Treatment Effect for Survival data

Language: Python - Size: 2.76 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 11 - Forks: 4

BaconZhou/MrSGUIDE

Multiple Responses Subgroup Identification

Language: C++ - Size: 2 MB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 4 - Forks: 0

AshwiniKV/TEHReview---MRC-CTU

Review: Data-driven methodology for detecting treatment effect heterogeneity

Language: R - Size: 311 KB - Last synced: 2 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

PopovicMilica/causal_nets

Implementation of neural network algorithm for estimation of heterogeneous treatment effects and propensity scores described in Farrell, Liang, and Misra (2021)

Language: Python - Size: 129 KB - Last synced: 8 months ago - Pushed: almost 3 years ago - Stars: 11 - Forks: 0

insightsengineering/uniCATE

Univariate conditional average treatment effect estimation for predictive biomarker discovery

Language: R - Size: 556 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 4 - Forks: 1

sokbae/ciccr

Causal Inference in Case-Control Studies

Language: R - Size: 1.52 MB - Last synced: 24 days ago - Pushed: 7 months ago - Stars: 2 - Forks: 2

nhejazi/txshift

:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

Language: R - Size: 2.2 MB - Last synced: 6 months ago - Pushed: 8 months ago - Stars: 12 - Forks: 4

boyiguo1/MOTE.RF

Multivariate Outcome Treatment Effect Random Forest

Language: C++ - Size: 210 KB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

forestry-labs/causalToolbox

Language: R - Size: 37 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 23 - Forks: 5

mazba-ahamad/Uplift-Modeling-for-Treatment-Non-Responders-through-Multifaceted-Intervention-for-Cost-Optimization

A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.

Language: Jupyter Notebook - Size: 72.3 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

cbw1243/endoSwitch

Endogenous switching regression model

Language: R - Size: 219 KB - Last synced: 6 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 2

persuasio/replication-JunLee-JPE

Replication files for Jun and Lee (2022)

Language: Stata - Size: 11.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

persuasio/persuasio-stata

Estimating the Effect of Persuasion in Stata

Language: Stata - Size: 1.91 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

annastavniychuk/econometrics_library

Causal Inference Econometrics Reading List and R Tutorials

Size: 93.8 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 1

brunomontezano/TelePsi

Analisar dados sobre psicoeducação em vídeo do projeto TelePsi

Language: R - Size: 4.9 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

bonStats/tidytreatment

Tidy methods for Bayesian treatment effect models

Language: R - Size: 30.3 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 14 - Forks: 1

ATbounds/ATbounds-r

Bounding Treatment Effects by Pooling Limited Information across Observations

Language: R - Size: 3.99 MB - Last synced: 28 days ago - Pushed: over 2 years ago - Stars: 3 - Forks: 0

ncov19-us/ncov19-vacc-dash-back-end

Vaccine/treatment trial progress tracker for the SARS-nCOV-2 virus and COVID-19 research and clinical trials happening all over the world.

Language: HTML - Size: 921 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 2

sanoke/hetviz

Treatment Effect Heterogeneity visualization using R

Language: R - Size: 22.7 MB - Last synced: 9 months ago - Pushed: about 4 years ago - Stars: 2 - Forks: 4

KatoPachi/RCTtoolbox

A package of wrapper functions that are useful when analyzing data from randomized controlled trials (RCTs, especially with three or more treatment assignments)

Language: R - Size: 461 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

igutierrezm/blopmatch

Treatment-effects estimation by blop-matching in Stata

Language: Stata - Size: 2.67 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

mtorrens/cil_article

Replication of CPS data analysis and numerical experiments in the article "Confounder importance learning for treatment effect inference"

Language: R - Size: 163 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 1

shoepaladin/statanomics

Repository of causal inference models, with a shared syntax for users to swap between models. This repository also allows users to diagnose their causal estimates absent any ground truth measures.

Language: Jupyter Notebook - Size: 13.4 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

leeper/GK2011

Gaines and Kuklinski (2011) Estimators for Hybrid Experiments

Language: R - Size: 28.3 KB - Last synced: 28 days ago - Pushed: about 6 years ago - Stars: 2 - Forks: 1

IyarLin/segmenTree

Find sub groups (segments) with heterogeneous treatment effect in Randomised Controlled Trial data.

Language: R - Size: 517 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

cancersysbio/BreastCancerITH

Language: Python - Size: 12.7 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 2

vmsatya/ConcurrentTherapySecondCancer

A biologically motivated mathematical formalism is used to estimate the relative risks of breast, lung and thyroid cancers in childhood cancer survivors due to concurrent therapy regimen. This model specifically includes possible organ-specific interaction between radiotherapy and chemotherapy. The model predicts relative risks for developing secondary cancers after chemotherapy in breast, lung and thyroid tissues, and compared with the epidemiological data.

Language: Matlab - Size: 608 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 1