4 papers
Estimating the Wasserstein barycenter of one-dimensional distributions under sparse sampling
James Peng, Florian Stijven, Linbo Wang +1
We study distributional data under sparse sampling where each unit is represented by a probability distribution on the real line observed only through a small i.i.d.~sample. A natu…
Targeted maximum likelihood estimation of vaccine effectiveness and immune correlates in test-negative design studies with missing data
Leah I. B. Andrews, Lars van der Laan, Peter B. Gilbert
The test-negative design (TND) is a resource-efficient observational study design that can assess vaccine effectiveness and exposure-proximal immune correlates of disease. The TND…
Sequentially Doubly Robust Estimation of Conditional Survival Probability with Time-Varying Covariates
Hongxiang Qiu, Marco Carone, Alex Luedtke +1
It is often of interest to study the association between covariates and the cumulative incidence of a right-censored time-to-event outcome. When time-varying covariates are measure…
Assessing variable importance in survival analysis using machine learning
Charles J. Wolock, Peter B. Gilbert, Noah Simon +1
Given a collection of features available for inclusion in a predictive model, it may be of interest to quantify the relative importance of a subset of features for the prediction t…