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Report abuse🎓 Biostatistics PhD student @ University of Washington
📝 Blog: KHstats
👾 CI-NYC contributions:
📈 Interests: non-parametric causal inference, statistics education, data visualization
A collection of visual guides to help applied scientists learn causal inference.
Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially Doubly Robust estimation (Hoffman et al. 2022).
Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
Slides for my R/Medicine 2022 talk, "Making Swimmer Plots for Longitudinal Data using {ggplot}".
Trials and tribulations of redoing KHstats website in Quarto.
HTML 9
Code and synthetic data for the illustrative application of "Causal survival analysis under competing risks using longitudinal modified treatment policies" (Diaz, Hoffman, Hejazi 2022).
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