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causal-inference-visual-guides
A collection of visual guides to help applied scientists learn causal inference.steroids-trial-emulation
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).lmtp-tutorial
Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)swimmer-plots
Slides for my R/Medicine 2022 talk, "Making Swimmer Plots for Longitudinal Data using {ggplot}".lida-comprisks
Code and synthetic data for the illustrative application of "Causal survival analysis under competing risks using longitudinal modified treatment policies" (Diaz, Hoffman, Hejazi 2022).Rproj-here-tutorial
Slides and interactive code for NYC R-Ladies June 2019 Lightning Talk and WCM Computing Club presentation.sl3-demo
A demo of the R package sl3 for R-Ladies NYC Sept. 2019 Meetuptmleplus
R functions to calculate effects from tmle, ltmle, survtmle, and SuperLearner fit objects.superlearning-wcm-cc
Presentation materials for WCM Computing Club talk.sixpack
core[lation] worksot-sepsis-application
Code and synthetic data to run the analyses for "Effect of Sepsis on Death as Modified by Solid Organ Transplantation" (Ackerman et al., 2022). Exposure is sepsis upon ICU admission, effect modifier is solid organ transplant (SOT) status, outcome is time to 28-day mortality. Informative loss-to-follow-up by discharge from the hospital.snack
R functions for robust SE reportingcedar
R functions to wrangle the Weill Cornell Medicine CEDAR ICU database.power_sims
The beginnings of a tutorial for building custom power simulations in R. Includes code for SLR power sim and presentation for WCM Biostatistics Computing Club.causal-club
Estimation code practice for WCM's Causal (Inference) Club 💛📙❤️uw-quarto-proj
Template for University of Washington classwork/projects.lmtp_comprisks
modifying nt-williams/lmtp for comp risksLove Open Source and this site? Check out how you can help us