16 citations · 17 across the 4 of their papers we have counts for
6 papers
Toward Joint Prediction of a Longitudinal Marker and a Terminal Event: A bivariate discrete-time framework
Stephanie Armbruster, Daniel Kramer, Rui Duan +3
Sudden cardiac death (SCD) is a leading cause of death in the U.S. Patients at elevated risk of SCD are primarily treated with an implantable cardioverter-defibrillator (ICD), whic…
A nutritionally informed model for Bayesian variable selection with metabolite response variables
Dylan Clark-Boucher, Brent A Coull, Harrison T Reeder +4
Understanding the pathways through which diet affects human metabolism is a central task in nutritional epidemiology. This article proposes novel methodology to identify food items…
Group-wise normalization in differential abundance analysis of microbiome samples
Dylan Clark-Boucher, Brent A Coull, Harrison T Reeder +4
A key challenge in differential abundance analysis of microbial samples is that the counts for each sample are compositional, resulting in biased comparisons of the absolute abunda…
Group lasso priors for Bayesian accelerated failure time models with left-truncated and interval-censored data
Harrison T. Reeder, Sebastien Haneuse, Kyu Ha Lee
An important task in health research is to characterize time-to-event outcomes such as disease onset or mortality in terms of a potentially high-dimensional set of risk factors. Fo…
Characterizing quantile-varying covariate effects under the accelerated failure time model
Harrison T. Reeder, Kyu Ha Lee, Sebastien Haneuse
An important task in survival analysis is choosing a structure for the relationship between covariates of interest and the time-to-event outcome. For example, the accelerated failu…
Penalized Estimation of Frailty-Based Illness-Death Models for Semi-Competing Risks
Harrison T. Reeder, Junwei Lu, Sebastien Haneuse
Semi-competing risks refers to the survival analysis setting where the occurrence of a non-terminal event is subject to whether a terminal event has occurred, but not vice versa. S…