3 papers
stat.ME2026
Targeted Highly Adaptive Lasso Minimum Loss Estimation of Target Functions
Vanessa Rodriguez, Karla Diaz-Ordaz, Brieuc Lehmann +1
We propose a Targeted Highly Adaptive Lasso for estimation of non-pathwise differentiable functional parameters such as the dose-response curve (DRC) for continuous exposure. We as…
stat.ME2025
The super learner for time-to-event outcomes: A tutorial
Ruth H. Keogh, Karla Diaz-Ordaz, Nan van Geloven +2
Estimating risks or survival probabilities conditional on individual characteristics based on censored time-to-event data is a commonly faced task. This may be for the purpose of d…
stat.ML2024
Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data
Matthew Pryce, Karla Diaz-Ordaz, Ruth H. Keogh +1
When estimating heterogeneous treatment effects, missing outcome data can complicate treatment effect estimation, causing certain subgroups of the population to be poorly represent…