4 citations · 4 across the 1 of their papers we have counts for
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Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes
Rui Hu, Ted Westling
In observational studies, the observed association between an exposure and outcome of interest may be distorted by unobserved confounding. Causal sensitivity analysis can be used t…
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…
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…