American Statistical Association
The concordance can be used to assess discriminative and predictive accuracy in statistical models. Recently, there has been significant development for regression models for censored data. We will review various censored regression, namely, accelerated failure time models, linear transformation models and general transformation models. After that, we will present concordance estimation in these censored regression models and discuss its applications. The asymptotic properties of the proposed estimators will be derived and the some numerical studies will be presented.
Dr. Jin is an Associate Professor of Biostatistics in the Department of Biostatistics at Columbia University’s Mailman School of Public Health. He received a PhD in Statistics from Columbia University in 1998.
|Date:||Tuesday, November 15, 2011|
|Time:||3:30 - 4:30 P.M.|
New York State Psychiatric Institute
1051 Riverside Drive
6th Floor Multipurpose Room (6602)
New York, New York