6 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Random-projection ensemble dimension reduction
Wenxing Zhou, Timothy I. Cannings
We introduce a new framework for dimension reduction in the context of high-dimensional regression. Our proposal is to aggregate an ensemble of random projections, which have been…
Random projections: data perturbation for classification problems
Timothy I. Cannings
Random projections offer an appealing and flexible approach to a wide range of large-scale statistical problems. They are particularly useful in high-dimensional settings, where we…
The correlation-assisted missing data estimator
Timothy I. Cannings, Yingying Fan
We introduce a novel approach to estimation problems in settings with missing data. Our proposal -- the Correlation-Assisted Missing data (CAM) estimator -- works by exploiting the…