duolajiang

duolajiang's Stars

• mellesies/thomas-core

  Very simple (almost naive ;-) bayesian network implementation

  Language:Python11

• cran-task-views/CausalInference

  CRAN Task View: Causal Inference

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• Inventitech/phd-thesis-template

  A LaTeX template for creating beautiful PhD theses, originally created by TU Delft.

  Language:TeX9757

• BenedicteColnet/combine-rct-rwd-review

  R notebooks associated with the review article: "Causal inference methods for combining randomized controlled trials and observational studies: a review"

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• duolajiang/RCTrep

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• ropensci/dev_guide

  rOpenSci Packages: Development, Maintenance, and Peer Review

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• 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 Notebook3.8k714

• inovex/justcause

  💊 Comparing causality methods in a fair and just way.

  Language:Jupyter Notebook13815

• Nth-iteration-labs/emcite

  code for Batch Mode Active Learning for Individual Treatment Effect Estimation

  Language:R2

• OHDSI/PatientLevelPrediction

  An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.

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• IBM-HRL-MLHLS/IBM-Causal-Inference-Benchmarking-Framework

  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code

  Language:Python8013

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k447

• kararudolph/transport

  Transporting intervention effects from one population to another with targeted learning

  Language:R75

• serobertson/ExtendingInferences

  Code for `Extending inferences from a randomized trial to a new target population'

  Language:R72

• IKNL/vtg.tpl

  Template repository to jumpstart your own algorithm for the vantage6 federated infrastructure

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• IKNL/vantage6-algorithms

  Collection of algorithms to be used with vantage6

  Language:Jupyter Notebook34

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.7k474

• shuyang-stat/IntegrativeFPM

  Language:R6

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.7k2.3k

• ej0cl6/deep-active-learning

  Deep Active Learning

  Language:Python807184

• OHDSI/ETL-Synthea

  A package supporting the conversion from Synthea CSV to OMOP CDM

  Language:R9770

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.1k778

• MLResearchAtOSRAM/cause2e

  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

  Language:Python574

• OHDSI/CohortMethod

  An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.

  Language:R8257

• facusapienza21/optimaladj

  This package implements the algorithms introduced in Smucler, Sapienza, and Rotnitzky (2020) to compute optimal adjustment sets in causal graphical models.

  Language:Python111

• zengshx777/OWRCT_codes_package

  Codebase for OW-RCT paper

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• duolajiang/ExtendingInferences

  Code for `Extending inferences from a randomized trial to a new target population'

  1

• OHDSI/Atlas

  ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

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• cran/sbw

  :exclamation: This is a read-only mirror of the CRAN R package repository. sbw — Stable Balancing Weights for Causal Inference and Missing Data

  Language:R11

• lmiratrix/blkvar

  Package for estimating impacts and cross-site variation in multi-site or blocked RCTs

  Language:R11