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    • R
      0000Updated May 5, 2025May 5, 2025
    • Code for paper: "The parametric G-formula for time-to-event data: towards intuition with a worked example"
      SAS
      0400Updated Nov 1, 2024Nov 1, 2024
    • SAS
      1100Updated May 9, 2023May 9, 2023
    • For the "GitHub for Epidemiologists" workshop on 2023-03-31.
      Rebol
      3000Updated Mar 31, 2023Mar 31, 2023
    • CausalBot

      Public
      I retweet #CausalTwitter
      Julia
      0100Updated Apr 21, 2022Apr 21, 2022
    • Code to accompany the paper "Bayesian G-Computation to Estimate Impacts of Interventions on Exposure Mixtures: Demonstration with Metals from Coal-fired Power Plants and Birthweight"
      Julia
      0100Updated Apr 19, 2021Apr 19, 2021
    • Code to accompany the manuscript "13 Questions About Using Machine Learning in Causal Research (You Won’t Believe the Answer to Number 10!)"
      SAS
      0200Updated Mar 17, 2021Mar 17, 2021
    • Materials for: An introduction to transporting treatment effects from randomized clinical trials to clinical practice (SER 2020 pre-conference workshop)
      R
      0000Updated Jan 8, 2021Jan 8, 2021
    • Super learner: super learning (stacking) in the SAS system
      SAS
      2100Updated Jul 20, 2020Jul 20, 2020
    • Code from paper "A Bayesian approach to the g-formula"
      Stan
      0800Updated May 15, 2020May 15, 2020
    • An implementation of the SuperLearner algorithm in Python based on scikit-learn. (py3 compatible)
      Python
      11100Updated May 23, 2017May 23, 2017