Dr. Ying Yuan
The University of Texas M. D. Anderson Cancer Center
Department of Biostatistics
- Missing data
- Clinical trial design
- Bayesian statistics
- Statistical methodology in behavioral science
- Survey sampling
My current research involves statistical analysis with missing data, Bayesian clinical trial designs and statistical method in behavioral science. Missing data, such as dropout, is a very common problem in medical research. Ignoring the missing data in data analysis often leads to biased results. I am interested in developing statistical methods to adjust for the missing data to obtain valid scientific inference. I am also interested in mediation analysis, a statistical tool widely used by behavioral scientists to understand the underlying mechanism of treatment or intervention programs. This research will help behavioral scientists to design more effective cancer intervention programs.
Yuan Y, Little RJA (2008) Mixed-effect hybrid models for longitudinal data with nonignorable dropout. Biometrics (to appear)
Yuan Y, Johnson VE (2008) Bayesian Hypothesis Tests Using Nonparametric Statistics. Statistica Sinica (to appear)
Yuan Y, Little RJA (2007) Parametric and Semiparametric Model-based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponse. Biometrics 63, 1172-1180.
Yuan Y, Little RJA (2007) Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Unit Non-response. Journal of the Royal Statistical Society: Series C (Applied Statistics) 56, 79-97.