5 citations · 5 across the 3 of their papers we have counts for
6 papers
Towards Improved Heliosphere Sky Map Estimation with Theseus
Dave Osthus, Brian P. Weaver, Lauren J. Beesley +5
The Interstellar Boundary Explorer (IBEX) satellite has been in orbit since 2008 and detects energy-resolved energetic neutral atoms (ENAs) originating from the heliosphere. Differ…
Reconstructing magnetic deflections from sets of proton images using differential evolution
Joseph M. Levesque, Lauren J. Beesley
Proton imaging is a powerful technique for imaging electromagnetic fields within an experimental volume, in which spatial variations in proton fluence are a result of deflections t…
Multiple imputation with missing data indicators
Lauren J Beesley, Irina Bondarenko, Michael R Elliott +3
Multiple imputation is a well-established general technique for analyzing data with missing values. A convenient way to implement multiple imputation is sequential regression multi…
Accounting for not-at-random missingness through imputation stacking
Lauren J Beesley, Jeremy M G Taylor
Not-at-random missingness presents a challenge in addressing missing data in many health research applications. In this paper, we propose a new approach to account for not-at-rando…
Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods
Jiacong Du, Jonathan Boss, Peisong Han +5
Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is…
A stacked approach for chained equations multiple imputation incorporating the substantive model
Lauren Beesley, Jeremy M G Taylor
Multiple imputation by chained equations (MICE) has emerged as a popular approach for handling missing data. A central challenge for applying MICE is determining how to incorporate…