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.

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

Variable importance through targeted causal inference, with Alan Hubbard

🎯 📕 Targeted Learning in R: A Causal Data Science Handbook

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

🎯🎓 Generalized Targeted Learning Framework

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

R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.

🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

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

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

Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition

🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention

Website and blog for the research group of Mark J. van der Laan

📦 🎲 R/medshift: Causal Mediation Analysis for Stochastic Interventions

💫 🎯 Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.

Transporting intervention effects from one population to another with targeted learning

Targeted Maximum Likelihood Estimation for Hierarchical Data