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
Aiyi Liu, Ph.D.
Selected Publications
Wu M & Yu KF. (In press). Remarks on between estimator in the intraclass correlation model with missing data. Journal of Multivariate Analysis.
Wu M, Yu KF & Liu A. (In press). Exact inference on contrasts in means of intraclass correlation models with missing responses. Journal of Multivariate Analysis.
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.
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