4 papers
A general nonparametric framework for testing hypotheses about function-valued parameters
Albert Osom, Ali Shojaie, Aaron Hudson
We present a general nonparametric approach for testing whether a statistical parameter defined through conditional distributions is constant across the conditioning variables. Suc…
An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs
Wenxin Zhang, Aaron Hudson, Maya Petersen +1
Adaptive designs are increasingly used in clinical trials and online experiments to improve participant outcomes by dynamically updating treatment allocation as data accumulate. In…
Nonparametric tests of treatment effect homogeneity for policy-makers
Oliver Dukes, Mats J. Stensrud, Riccardo Brioschi +1
Recent work has focused on nonparametric estimation of conditional treatment effects, but inference has remained relatively unexplored. We propose a class of nonparametric tests fo…
A class of nonparametric methods for evaluating the effect of continuous treatments on survival outcomes
Yutong Jin, Peter B. Gilbert, Aaron Hudson
In randomized trials and observational studies, it is often necessary to evaluate the extent to which an intervention affects a time-to-event outcome, which is only partially obser…