2 citations · 4 across the 5 of their papers we have counts for
5 papers
An Approach to Nonparametric Inference on the Causal Dose Response Function
Aaron Hudson, Elvin H. Geng, Thomas A. Odeny +3
The causal dose response curve is commonly selected as the statistical parameter of interest in studies where the goal is to understand the effect of a continuous exposure on an ou…
Nonparametric inference on non-negative dissimilarity measures at the boundary of the parameter space
Aaron Hudson
It is often of interest to assess whether a function-valued statistical parameter, such as a density function or a mean regression function, is equal to any function in a class of…
Inference on function-valued parameters using a restricted score test
Aaron Hudson, Marco Carone, Ali Shojaie
It is often of interest to make inference on an unknown function that is a local parameter of the data-generating mechanism, such as a density or regression function. Such estimand…
Statistical Inference for Qualitative Interactions with Applications to Precision Medicine and Differential Network Analysis
Aaron Hudson, Ali Shojaie
Qualitative interactions occur when a treatment effect or measure of association varies in sign by sub-population. Of particular interest in many biomedical settings are absence/pr…
Covariate-Adjusted Inference for Differential Analysis of High-Dimensional Networks
Aaron Hudson, Ali Shojaie
Differences between biological networks corresponding to disease conditions can help delineate the underlying disease mechanisms. Existing methods for differential network analysis…