Topic: targeted-learning Goto Github
Some thing interesting about targeted-learning
Some thing interesting about targeted-learning
targeted-learning,An R Package for Average Causal Effect Estimation via the Front-Door Functional
User: annaguo-bios
Home Page: https://github.com/annaguo-bios/fdtmle
targeted-learning,Implementing experiments in paper titled "Targeted Machine Learning for Average Causal Effect Estimation Using the Front-Door Functional"
User: annaguo-bios
targeted-learning,:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
User: blind-contours
targeted-learning,:dizzy: :dart: Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
User: blind-contours
targeted-learning, Targeted Maximum Likelihood Estimation for Hierarchical Data
User: chizhangucb
targeted-learning,Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
User: ck37
targeted-learning,R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
User: ck37
targeted-learning, SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
User: ck37
targeted-learning,Data-adaptive creation of exposure (treatment) mixtures using targeted learning
User: ck37
targeted-learning,Variable importance through targeted causal inference, with Alan Hubbard
User: ck37
targeted-learning,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.
User: en0th
targeted-learning,Transporting intervention effects from one population to another with targeted learning
User: kararudolph
targeted-learning,npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
User: larsvanderlaan
targeted-learning,Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
User: larsvanderlaan
Home Page: https://arxiv.org/pdf/2303.11462.pdf
targeted-learning,Quarto version of "Introduction to Modern Causal Inference" by Alejandro Schuler.
User: lorenzofabbri
Home Page: https://lorenzof.quarto.pub/introduction-to-modern-causal-inference/
targeted-learning,In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
Organization: mloptpsu
targeted-learning,:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
User: nhejazi
Home Page: https://code.nimahejazi.org/biotmle/
targeted-learning,Poster "Semiparametric estimation and robust empirical Bayes inference in high-dimensional biological studies" for the annual conference of the Superfund Research Program, November 2019
User: nhejazi
Home Page: https://statistics.berkeley.edu/~nhejazi/posters/2019_srp.pdf
targeted-learning,:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
User: nhejazi
Home Page: https://codex.nimahejazi.org/medoutcon
targeted-learning,:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
User: nhejazi
Home Page: https://codex.nimahejazi.org/medshift
targeted-learning,:package: :microscope: R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
User: nhejazi
Home Page: https://code.nimahejazi.org/methyvim/
targeted-learning,:speech_balloon: Talk on mediation effects based on stochastic interventions
User: nhejazi
targeted-learning,:speech_balloon: Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
User: nhejazi
targeted-learning,:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
User: nhejazi
Home Page: https://codex.nimahejazi.org/txshift
targeted-learning,:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
User: nt-williams
targeted-learning,Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
User: romainkp
targeted-learning,A pure Julia implementation of the Targeted Minimum Loss-based Estimation
Organization: targene
Home Page: https://olivierlabayle.github.io/TMLE.jl/stable/
targeted-learning,Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Organization: tlverse
Home Page: https://tlverse.org/causalglm/
targeted-learning, 🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
Organization: tlverse
Home Page: https://tlverse.org/tlverse-handbook
targeted-learning,🎯🎓 Generalized Targeted Learning Framework
Organization: tlverse
Home Page: https://tlverse.org/tmle3
targeted-learning,🎯🎓 An introductory workshop lecture on a generalized framework for Targeted Learning using the tmle3 R package
Organization: tlverse
targeted-learning, 🎯 :twisted_rightwards_arrows: Targeted Learning for Causal Mediation Analysis
Organization: tlverse
Home Page: https://tlverse.org/tmle3mediate
targeted-learning,🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
Organization: tlverse
targeted-learning, 🎯 :game_die: Targeted Learning of the Causal Effects of Stochastic Interventions
Organization: tlverse
Home Page: https://tlverse.org/tmle3shift
targeted-learning,Course website for "Targeted Learning in Biomedical Big Data" (Spring 2018, UC Berkeley)
Organization: vanderlaan-group
Home Page: https://vanderlaan-group.github.io/tlbbd-sp2018
targeted-learning,Website and blog for the research group of Mark J. van der Laan
Organization: vanderlaan-group
Home Page: https://vanderlaan-lab.org
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