Larsvanderlaan

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

autocausalML

causalCalibration

Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)

causalHAL

Adaptive debiased machine learning of treatment effects with the highly adaptive lasso

CDML

CDML: Automatic doubly robust inference for linear functionals via calibrated debiased machine learning

hte3

Causal machine learning pipeline using tlverse/sl3

Larsvanderlaan.github.io

My website

npcausalML

SelfCalibratingConformal

An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal prediction to deliver calibrated point predictions alongside prediction intervals with finite-sample validity conditional on these predictions.

tmle3

🎯🎓 Generalized Targeted Learning Framework

Larsvanderlaan/causalHAL

Adaptive debiased machine learning of treatment effects with the highly adaptive lasso

Larsvanderlaan/hte3

Causal machine learning pipeline using tlverse/sl3

Larsvanderlaan/SelfCalibratingConformal

An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal prediction to deliver calibrated point predictions alongside prediction intervals with finite-sample validity conditional on these predictions.

Larsvanderlaan/causalCalibration

Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)

Larsvanderlaan/CDML

CDML: Automatic doubly robust inference for linear functionals via calibrated debiased machine learning

Larsvanderlaan/Larsvanderlaan.github.io

My website

Larsvanderlaan/npcausalML

Larsvanderlaan/tmle3

🎯🎓 Generalized Targeted Learning Framework

Larsvanderlaan/academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Larsvanderlaan/autocausalML

Larsvanderlaan/correlates_reporting

Reproducible reporting workflow for immune correlates statistical analyses in COVID-19 vaccine efficacy trials

Larsvanderlaan/correlates_reporting2

Generalized reproducible reporting workflow for statistical analyses of candidate immune correlates of risk and protection in vaccine efficacy trials

Larsvanderlaan/correlates_reporting2-1

Generalized reproducible reporting workflow for statistical analyses of candidate immune correlates of risk and protection in vaccine efficacy trials

Larsvanderlaan/myCausalPackages

A GitHub repo containing R packages I've made for causal inference applications

Larsvanderlaan/hal9001

🤠 📿 The Highly Adaptive Lasso

Larsvanderlaan/Larsvanderlaan.github.ioOLD

Larsvanderlaan/npOddsRatio

Larsvanderlaan/npRR

npRR: Model-robust inference for the conditional relative risk function using targeted machine learning

Larsvanderlaan/npthreshold

Larsvanderlaan/oldwebsite

Larsvanderlaan/sl3

💪 🤔 Modern Super Learning using Pipelines

Larsvanderlaan/spCaseOnlyVE

Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies

Larsvanderlaan/ThresholdTMLE

Larsvanderlaan/website