40 citations · 56 across the 8 of their papers we have counts for
8 papers
A joint model of the individual mean and within-subject variability of a longitudinal outcome with a competing risks time-to-event outcome
Shanpeng Li, Daniel S. Nuyujukian, Robyn L. McClelland +4
Motivated by a growing body of research emphasizing the importance of modeling within-subject (WS) variability in longitudinal biomarkers and its association with health outcomes,…
Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risks Data: With Applications to Massive Biobank Data
Shanpeng Li, Ning Li, Hong Wang +3
Semiparametric joint models of longitudinal and competing risks data are computationally costly and their current implementations do not scale well to massive biobank data. This pa…
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia
Seyoon Ko, Hua Zhou, Jin Zhou +1
The demand for high-performance computing (HPC) is ever-increasing for everyday statistical computing purposes. The downside is that we need to write specialized code for each HPC…
High-Performance Statistical Computing in the Computing Environments of the 2020s
Seyoon Ko, Hua Zhou, Jin J. Zhou +1
Technological advances in the past decade, hardware and software alike, have made access to high-performance computing (HPC) easier than ever. We review these advances from a stati…
OPENMENDEL: A Cooperative Programming Project for Statistical Genetics
Hua Zhou, Janet S. Sinsheimer, Christopher A. German +12
Statistical methods for genomewide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed a…
MM Algorithms for Variance Component Estimation and Selection in Logistic Linear Mixed Model
Liuyi Hu, Wenbin Lu, Jin Zhou +1
Logistic linear mixed model is widely used in experimental designs and genetic analysis with binary traits. Motivated by modern applications, we consider the case with many groups…
MM Algorithms for Variance Components Models
Hua Zhou, Liuyi Hu, Jin Zhou +1
Variance components estimation and mixed model analysis are central themes in statistics with applications in numerous scientific disciplines. Despite the best efforts of generatio…
Fast Genome-Wide QTL Analysis Using Mendel
Hua Zhou, Jin Zhou, Tao Hu +2
Pedigree GWAS (Option 29) in the current version of the Mendel software is an optimized subroutine for performing large scale genome-wide QTL analysis. This analysis (a) works for…