Lei Liu's repositories
joint-model-longitudinal-recurrent-survival
SAS Code in Liu, L. and Huang X. (2009). Joint analysis of correlated repeated measures and recurrent events processes in the presence of a dependent terminal event. Journal of Royal Statistical Society Series C: Applied Statistics 58, 65-81.
marginalized-2PM-with-Beta
This is the SAS code for the paper "A Marginalized Two Part Beta Regression Model for Microbiome Compositional Data"
microbiome-mediation-SIS
This is the R code used in the paper "Testing mediation effects in high-dimensional microbiome compositional data"
variable-selection-in-joint-frailty-models
Variable selection in joint frailty models of recurrent and terminal events
Biometrics2008
Code in Liu, L., Huang, X. and O’Quigley, J. (2008). Analysis of longitudinal data in the presence of informative observational times and a dependent terminal event, with application to medical cost data. Biometrics 64, 950-958.
Biometrics2016
Code for paper: Liu, L., Huang, X., Yaroshinsky, A., Cormier, J. (2016). Joint frailty models for zero-inflated recurrent events in the presence of a terminal event. Biometrics. 72, 204-214.
causality
This is the repository for SAS and R codes for the causality mechanism of the joint analysis of longitudinal and survival data
HIMA
High-dimensional Mediation Analysis (HIMA)
two-part-joint-model
Code in Liu, L. (2009). Joint modeling longitudinal semi-continuous data and survival, with application to longitudinal medical cost data. Statistics in Medicine 28, 972-986.
zero-inflated-continuous
This repository contains SAS programs using in the paper "Analysis of zero-inflated continuous data"
NLMIXED
The use of Gaussian quadrature in frailty proportional hazards models. Statistics in Medicine 27, 2665-2683
rticles
LaTeX Journal Article Templates for R Markdown
THIMA
This is the R code for the targeted mediation analysis for high dimensional mediators
twopart
Code in Liu, L., Strawderman, R. L., Johnson, B. A., O'Quigley, J.M. (2016). Analyzing repeated measures semi-continuous data, with application to an alcohol dependence study. Statistical Methods in Medical Research. 25, 133-152.
variable-selection-for-random-effects-two-part-model
This code is for the paper "variable selection for random effects two-part models"