Last Update: 08/06/2007 Printer Friendly Printer Friendly   Email This Page Email This Page  
Longitudinal Data Analysis

Principal investigator: Kai Fun Yu, Ph.D.
This project investigates theory, methods, and applications of statistics and probability with current emphasis on longitudinal data analysis.
The major motivating examples for applications are the following two NICHD studies: 

  • Successive Small-for-Gestational Age Study in Alabama and Scandinavia
  • Longitudinal Study of Vaginal Flora

DESPR Collaborators

Mi-Xia Wu, Ph.D.

Selected Publications

Yu KF & Yuan W. (2004). Regression models for unbalanced longitudinal ordinal data: Computer software and a simulation study. Computer Methods and Programs in Biomedicine, 75:195-200. [Abstract]

Wu CO, Yu KF, & Yuan VWS. (2003). Covariate Centering and Scaling in Varying-Coefficient Regression with Application to Longitudinal Growth Studies. In M.G. Akritas and D.N. Politis (Eds.), Recent Advances and Trends in Nonparametric Statistics, (pp.377-391). The Netherlands:Elsevier.

Wu CO & Yu KF. (2003). Regression Models for the Analysis of Longitudinal Data. In JQ Fang and Y Lu (Eds.), Advanced Medical Statistics (pp.837-884). Singapore: World Scientific Publishing Co.

Wu CO & Yu KF. (2002). Nonparametric varying-coefficient models for the analysis of longitudinal data. International Statistical Review, 70:373-393.

 
For More Information:
News Releases
Publications/Materials
Research Resources
Contact Information:
Dr Mark Klebanoff
Senior Investigator
Address:
6100 Executive Blvd Room 7B05F, MSC 7510
Rockville, MD 20852
For FedEx use:
Rockville Md 20852
Phone: 301-496-5267
Fax: 301-402-2084
E-mail:
klebanom@ mail.nih.gov