5 citations · 10 across the 3 of their papers we have counts for
3 papers
stat.AP2023★ 3 cited
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas
Mohamed Tarek, Jose Storopoli, Casey Davis +4
This paper provides a comprehensive tutorial for Bayesian practitioners in pharmacometrics using Pumas workflows. We start by giving a brief motivation of Bayesian inference for ph…
stat.ME2021★ 2 cited
Multi-Block Sparse Functional Principal Components Analysis for Longitudinal Microbiome Multi-Omics Data
Lingjing Jiang, Chris Elrod, Jane J. Kim +3
Microbiome researchers often need to model the temporal dynamics of multiple complex, nonlinear outcome trajectories simultaneously. This motivates our development of multivariate…
stat.ME2020★ 5 cited
BayesTime: Bayesian Functional Principal Components for Sparse Longitudinal Data
Lingjing Jiang, Yuan Zhong, Chris Elrod +3
Modeling non-linear temporal trajectories is of fundamental interest in many application areas, such as in longitudinal microbiome analysis. Many existing methods focus on estimati…