332 citations · 1.3k across the 44 of their papers we have counts for
74 papers
Assumption-lean logistic regression with missing covariates
Jyotishka Ray Choudhury, Kabir Aladin Verchand, Richard J. Samworth +1
Missing covariates are frequently encountered in supervised learning problems, and classical methods for estimation using such data use carefully chosen imputation schemes for miss…
Is the regression -test doubly robust?
Lucy Xia, Oliver Y. Feng, Yang Feng +2
We study the robustness of the -test in random design linear models, and reach a somewhat nuanced conclusion. On the positive side, one of our main results is that the size of t…
Adaptive confidence intervals with missing data
Tianyi Ma, Kabir A. Verchand, Chao Gao +1
We consider the construction of confidence intervals for population means when observations are subject to missingness. To accommodate more general missingness mechanisms than miss…
Algorithmic stability via ensembling
Rina Foygel Barber, Richard J. Samworth
Algorithmic stability refers to the property of an algorithm being insensitive to perturbations of the input data, where the type of perturbation may vary depending on the setting.…
Outrigger local polynomial regression
Elliot H. Young, Rajen D. Shah, Richard J. Samworth
Standard local polynomial estimators of a nonparametric regression function employ a weighted least squares loss function that is tailored to the setting of homoscedastic Gaussian…
Data-driven controlled subgroup selection in clinical trials
Manuel M. Müller, Björn Bornkamp, Frank Bretz +7
Subgroup selection in clinical trials is essential for identifying patient groups that react differently to a treatment, thereby enabling personalised medicine. In particular, subg…