Statistics Seminar
 
Statistical Laboratory
Iowa State University
 
DATE AND TIME:  Monday, April 3, 2006, 4:10 p.m.
 
PLACE:  319 Snedecor
 
SPEAKER:  Jian Huang, Department of Statistics and Actuarial Science, Program in Public Health Genetics School of Public Health,                                University of Iowa, Iowa City
 
TITLE:  Regularized Estimation with High Dimensional Data
                                            
ABSTRACT
 
The need for fitting regression models with high-dimensional covariates arises from microarray gene expression profiling studies of cancer. One of the main purposes of such studies is to find genes that have predictive values of patient's survival and other important clinical outcomes. We propose using the gradient directed regularization method for variable selection and estimation in classification and censored survival models. We use a simulation based method for evaluating model significance in terms of prediction, and a resampling approach for assessing variable importance. We demonstrate the proposed method on data sets from two microarray gene expression profiling studies of lymphoma cancers in which patient's survival information is available. We also discuss some theoretical aspects of regularized methods in fitting regression models with high-dimensional data.
 
COFFEE:  3:45 p.m., 104 Snedecor Hall
 
Seminar schedules and abstracts are available via WWW:  http://www.stat.iastate.edu/

Jeanette La Grange
Department of Statistics
102 Snedecor
Iowa State University
Ames, IA  50010-1210
515 294-3440 (office)
515 294-4040 (fax)
http://www.stat.iastate.edu/directory/staff/jeanette.html