Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
☆21Jun 12, 2020Updated 5 years ago
Alternatives and similar repositories for SIM-TMLE-tutorial
Users that are interested in SIM-TMLE-tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🎯🎓 Generalized Targeted Learning Framework☆43Jun 17, 2025Updated 11 months ago
- Targeted Learning for Survival Analysis☆22Nov 19, 2023Updated 2 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Sep 21, 2024Updated last year
- SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.☆37Apr 17, 2019Updated 7 years ago
- Website and blog for the research group of Mark J. van der Laan☆11Jul 1, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Targeted Maximum Likelihood Estimation for Network Data☆20Aug 29, 2017Updated 8 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆69Jul 18, 2024Updated last year
- ☆22Jan 7, 2025Updated last year
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆14Aug 6, 2022Updated 3 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆59Nov 5, 2025Updated 7 months ago
- ☆17May 12, 2025Updated last year
- Diagnostics for confounding of time-varying and other joint exposures☆11Apr 22, 2026Updated last month
- Software used for papers published by CAUSALab members☆12Oct 23, 2025Updated 7 months ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Feb 12, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Generic and lazy tree traversal algorithms☆13Jul 12, 2020Updated 5 years ago
- Combining drake workflows with R package development to train and execute a machine learning model☆15Jun 21, 2020Updated 5 years ago
- ☆13Jan 11, 2019Updated 7 years ago
- ☆16Feb 3, 2024Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 3 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆25Jan 18, 2022Updated 4 years ago
- Heterogeneous Treatment Effects☆17Oct 4, 2022Updated 3 years ago
- An R package for working with Ethereum☆19Jan 27, 2020Updated 6 years ago
- Finding all the circuits of a directed graph with self-arcs and multiple-arcs by K.A. Hawick and H.A. James☆19Apr 11, 2013Updated 13 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Visualization Collider Effect: ShinyApp☆12Dec 18, 2025Updated 5 months ago
- Sandbox for generating visualizations of the bias-variance tradeoff for Machine Learning at Berkeley's blog.☆13Jun 26, 2017Updated 8 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25May 24, 2014Updated 12 years ago
- A Toolkit for Calculating and Working with Propensity Scores☆23May 6, 2026Updated last month
- Tools for estimating causal effects for multivariate continuous exposures☆13Dec 8, 2021Updated 4 years ago
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated 2 years ago
- R package that simulates data suitable for fitting Marginal Structural Model.☆13Sep 26, 2022Updated 3 years ago
- Tidy and plot meta-analyses in R☆47Apr 10, 2019Updated 7 years ago
- Generate bib (.bib) bibliography files on the fly☆11Jan 3, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.☆16Mar 18, 2024Updated 2 years ago
- Techniques to Build Better Balance in Propensity Score Models☆22Mar 6, 2026Updated 3 months ago
- Making data science tools count toward tenure 👩🏫👨🏫☆10Apr 19, 2019Updated 7 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Aug 20, 2016Updated 9 years ago
- Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition☆12Jul 16, 2017Updated 8 years ago
- An R package for visualizing confounder control in meta-analyses☆11Jan 17, 2023Updated 3 years ago
- Causal mediation and interaction analysis - 4way decomposition - Rscript☆10Oct 3, 2017Updated 8 years ago