Statistical Modeling for Medical Research

Organizer: Yangxin HUANG, University of South Florida, USA

Chair:Yangxin HUANG, University of South Florida, USA

Description: This session will consist of presentations that reflect statistical modeling in various data analysis in biological, medical and public health fields. These will include, but not limit to, mixed-effects model, hierarchical Bayesian model, semi-parametric NLME model, proportional hazard frailty model for analyzing longitudinal data, miss data, categorical data, binary data.

Speakers:

  1. Semiparametric Nonlinear Mixed-effects Models with Covariate Measurement Errors and Missing Data
  2. Lang Wu*, University of British Columbia, Canada
  3. Recursive Path Analysis for Categorical Variables
  4. Haihong Li*, University of Florida, USA
  5. Estimating and Testing the Variation of a Binary Treatment Effect Over Clusters in a Proportional Hazard Frailty Model
  6. Shibao Feng *, Robert A. Wolfe, and Lei Nie, Genentech, Inc. USA
  7. Tree-Structured Subgroup Analysis
  8. Xiaogang Su*, University of Central Florida
  9. A Bayesian Approach for Differential Equation Models with Application to AIDS Clinical Studies
  10. Yangxin, Huang*, University of South Florida, Hulin Wu, University Rochester

Presented jointly by
the Department of Statistics and Finance, University of Science and Technology of China and the Forum for Interdisciplinary Mathematics.


Co-sponsored by: