24 citations · 33 across the 6 of their papers we have counts for
Showing math.STShow all
3 papers · 1 filter
math.ST2015
Information-adaptive clinical trials with selective recruitment and binary outcomes
James E. Barrett
Selective recruitment designs preferentially recruit individuals that are estimated to be statistically informative onto a clinical trial. Individuals that are expected to contribu…
math.ST2014
Covariate dimension reduction for survival data via the Gaussian process latent variable model
James E. Barrett, Anthony C. C. Coolen
The analysis of high dimensional survival data is challenging, primarily due to the problem of overfitting which occurs when spurious relationships are inferred from data that subs…
math.ST2013★ 9 cited
Gaussian process regression for survival data with competing risks
James E. Barrett, Anthony C. C. Coolen
We apply Gaussian process (GP) regression, which provides a powerful non-parametric probabilistic method of relating inputs to outputs, to survival data consisting of time-to-event…