Abstract

Medical University of South Carolina, Charleston, South CarolinaGeorgia Institute of Technology, Atlanta, GeorgiaRush-Presbyterian-St. Luke's Medical Center, Chicago, ILUniversity of Georgia, Augusta, Georgia

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project--Cooperative Agreements (U01)
Project #
7U01NS043127-09
Application #
7989007
Study Section
Special Emphasis Panel (ZNS1-SRB-P (01))
Program Officer
Moy, Claudia S
Project Start
2001-09-30
Project End
2011-11-30
Budget Start
2009-07-01
Budget End
2009-11-30
Support Year
9
Fiscal Year
2009
Total Cost
$192,000
Indirect Cost

  Institution

Name
University of Texas Health Science Center Houston
Department
Type
Other Domestic Higher Education
DUNS #
800771594
City
Houston
State
TX
Country
United States
Zip Code
77225

  Publications

Lin, Li-An; Luo, Sheng; Davis, Barry R (2018) Bayesian regression model for recurrent event data with event-varying covariate effects and event effect. J Appl Stat 45:1260-1276
Yang, Chengwu; Vrana, Kent E (2018) Rescuing Suboptimal Patient-Reported Outcome Instrument Data in Clinical Trials: A New Strategy. Healthcare (Basel) 6:
Zhu, Huirong; DeSantis, Stacia M; Luo, Sheng (2018) Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective. Stat Methods Med Res 27:1258-1270
Luthra, Nijee S; Kim, Soeun; Zhang, Yunxi et al. (2018) Characterization of vitamin D supplementation and clinical outcomes in a large cohort of early Parkinson's disease. J Clin Mov Disord 5:7
Li, Kan; O'Brien, Richard; Lutz, Michael et al. (2018) A prognostic model of Alzheimer's disease relying on multiple longitudinal measures and time-to-event data. Alzheimers Dement 14:644-651
Chen, Geng; Luo, Sheng (2018) Bayesian Hierarchical Joint Modeling Using Skew-Normal/Independent Distributions. Commun Stat Simul Comput 47:1420-1438
Li, Liang; Luo, Sheng; Hu, Bo et al. (2017) Dynamic Prediction of Renal Failure Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease. Stat Biosci 9:357-378
Wang, Jue; Luo, Sheng; Li, Liang (2017) DYNAMIC PREDICTION FOR MULTIPLE REPEATED MEASURES AND EVENT TIME DATA: AN APPLICATION TO PARKINSON'S DISEASE. Ann Appl Stat 11:1787-1809
Li, Kan; Luo, Sheng (2017) Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease. Stat Med 36:3560-3572
Wang, Jue; Luo, Sheng (2017) Multidimensional latent trait linear mixed model: an application in clinical studies with multivariate longitudinal outcomes. Stat Med 36:3244-3256

Showing the most recent 10 out of 100 publications