Name: Lars van der Laan
Type: User
Company: University of Washington
Bio: Ph.D. student in Statistics at the University of Washington, Seattle. Working on causal inference and debiased/targeted machine learning.
Twitter: LarsvanderLaan3
Location: Seattle
Blog: https://larsvanderlaan.github.io
Lars van der Laan's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)
Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
Reproducible reporting workflow for immune correlates statistical analyses in COVID-19 vaccine efficacy trials
Generalized reproducible reporting workflow for statistical analyses of candidate immune correlates of risk and protection in vaccine efficacy trials
Generalized reproducible reporting workflow for statistical analyses of candidate immune correlates of risk and protection in vaccine efficacy trials
🤠 📿 The Highly Adaptive Lasso
Causal machine learning pipeline using tlverse/sl3
My website
A GitHub repo containing R packages I've made for causal inference applications
npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
💪 🤔 Modern Super Learning using Pipelines
Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
🎯🎓 Generalized Targeted Learning Framework