Topic: "targeted-learning"
en0th/ElectricRat
电气鼠靶场系统是一种带有漏洞的Web应用程序，旨在为Web安全渗透测试学习者提供学习和实践的机会。The Electrical Mouse Target Range System is a web application with vulnerabilities designed to provide learning and practice opportunities for web security penetration testing learners.
Language: JavaScript - Size: 99.4 MB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 256 - Forks: 35
nt-williams/lmtp
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
Language: R - Size: 3.17 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 74 - Forks: 24
tlverse/tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
Language: TeX - Size: 56 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 59 - Forks: 17
ck37/varimpact
Variable importance through targeted causal inference, with Alan Hubbard
Language: R - Size: 653 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 57 - Forks: 12
tlverse/tmle3
🎯🎓 Generalized Targeted Learning Framework
Language: R - Size: 1.14 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 40 - Forks: 14
ck37/superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
Language: HTML - Size: 2.28 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 37 - Forks: 9
osofr/stremr
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
Language: R - Size: 4.97 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 34 - Forks: 8
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 at: 6 months ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 0
TARGENE/TMLE.jl
A Julia implementation of the Targeted Minimum Loss-based Estimation
Language: Julia - Size: 11.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 21 - Forks: 5
ck37/ck37r
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
Language: R - Size: 1.15 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 19 - Forks: 5
nhejazi/txshift
:package: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
Language: R - Size: 2.32 MB - Last synced at: 2 days ago - Pushed at: 12 months ago - Stars: 14 - Forks: 5
tlverse/tmle3shift
🎯 :game_die: Targeted Learning of the Causal Effects of Stochastic Interventions
Language: R - Size: 472 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 1
nhejazi/medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
Language: R - Size: 824 KB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 13 - Forks: 8
tlverse/tmle3mopttx
🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
Language: R - Size: 1.39 MB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 3
ck37/atlantic-causal-2017
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
Language: R - Size: 1.32 MB - Last synced at: 6 months ago - Pushed at: about 8 years ago - Stars: 12 - Forks: 3
blind-contours/SuperNOVA
:dizzy: :dart: Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
Language: R - Size: 193 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 1
nhejazi/medshift
:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
Language: R - Size: 784 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3
vanderLaan-Group/vanderLaan-lab.org
Website and blog for the research group of Mark J. van der Laan
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kararudolph/transport
Transporting intervention effects from one population to another with targeted learning
Language: R - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 5
vanderLaan-Group/tlbbd-sp2018 📦
Course website for "Targeted Learning in Biomedical Big Data" (Spring 2018, UC Berkeley)
Language: Shell - Size: 6.28 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 1
blind-contours/CVtreeMLE
:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
Language: R - Size: 127 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 2
nhejazi/biotmle
:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
Language: R - Size: 120 MB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 2
chizhangucb/tmleCommunity
Targeted Maximum Likelihood Estimation for Hierarchical Data
Language: R - Size: 8.96 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 4
Larsvanderlaan/calibratedDML
calibratedDML: Doubly robust inference via calibration
Language: HTML - Size: 213 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 2
tlverse/tmle3mediate
🎯 :twisted_rightwards_arrows: Targeted Learning for Causal Mediation Analysis
Language: R - Size: 4.62 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
nhejazi/methyvim 📦
:package: :microscope: R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
Language: TeX - Size: 4.99 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0
tlverse/tmle3_lecture 📦
🎯🎓 An introductory workshop lecture on a generalized framework for Targeted Learning using the tmle3 R package
Language: JavaScript - Size: 839 KB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0
ck37/tlmixture
Data-adaptive creation of exposure (treatment) mixtures using targeted learning
Language: R - Size: 288 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
nhejazi/talk_txshift
:speech_balloon: Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
Language: TeX - Size: 4.8 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
lorenzoFabbri/intro-modern-ci
Quarto version of "Introduction to Modern Causal Inference" by Alejandro Schuler.
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ck37/SuperLearner Fork of ecpolley/SuperLearner
SuperLearner R package: prediction model ensembling method
Language: R - Size: 730 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1
al8xi8/EPID708_UMich2025
Coursework, R code, and notes for EPID 708: Machine Learning for Epidemiologic Analysis in the Era of Big Data (Summer 2025, University of Michigan). Topics include cutting-edge applications of machine learning in epidemiology, with a focus on causal inference and prediction through Targeted Learning.
Language: R - Size: 25.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
annaguo-bios/fd-methods
Implementing experiments in paper titled "Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional"
Language: R - Size: 109 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
annaguo-bios/fdcausal
An R Package for Average Causal Effect Estimation via the Front-Door Functional
Language: R - Size: 490 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Larsvanderlaan/npRR
npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
Language: R - Size: 69.1 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
MLOPTPSU/Targeted-Meta-Learning
In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
Language: Python - Size: 207 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1
nhejazi/talk_medshift
:speech_balloon: Talk on mediation effects based on stochastic interventions
Language: TeX - Size: 1.29 MB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
nhejazi/conf_srp2019_biotmle 📦
Poster "Semiparametric estimation and robust empirical Bayes inference in high-dimensional biological studies" for the annual conference of the Superfund Research Program, November 2019
Language: TeX - Size: 40.6 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0