4 citations · 4 across the 1 of their papers we have counts for
6 papers
Inference for treatment-specific survival curves using machine learning
Ted Westling, Alex Luedtke, Peter Gilbert +1
In the absence of data from a randomized trial, researchers often aim to use observational data to draw causal inference about the effect of a treatment on a time-to-event outcome.…
Nonparametric tests of the causal null with non-discrete exposures
Ted Westling
In many scientific studies, it is of interest to determine whether an exposure has a causal effect on an outcome. In observational studies, this is a challenging task due to the pr…
Correcting an estimator of a multivariate monotone function with isotonic regression
Ted Westling, Mark van der Laan, Marco Carone
In many problems, a sensible estimator of a possibly multivariate monotone function may itself fail to be monotone. We study the correction of such an estimator obtained via projec…
Causal isotonic regression
Ted Westling, Peter Gilbert, Marco Carone
In observational studies, potential confounders may distort the causal relationship between an exposure and an outcome. However, under some conditions, a causal dose-response curve…
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel
Tin Lok James Ng, Thomas Brendan Murphy, Ted Westling +2
Dáil Éireann is the principal chamber of the Irish parliament. The 31st Dáil Éireann is the principal chamber of the Irish parliament. The 31st Dáil was in session from March 11th,…
A unified study of nonparametric inference for monotone functions
Ted Westling, Marco Carone
The problem of nonparametric inference on a monotone function has been extensively studied in many particular cases. Estimators considered have often been of so-called Grenander ty…