| 主讲人： | 刘瑾教授 (University of Illinois at Chicago) |
| 主讲人简介： | 详见附件。_data/file/liujin CV.pdf |
| 主持人： | |
| 讲座简介： | In cancer research, profiling studies have been extensively conducted, searching for genes/SNPs associated with prognosis. Examining similarity and difference in the genetic basis of multiple subtypes of the same cancer can lead to better understanding of their connections and distinctions. Integrative analysis approaches analyze the raw data on multiple subtypes simultaneously and can outperform meta-analysis. In this study, prognosis data on multiple subtypes of the same cancer are analyzed. An AFT model is adopted to describe survival. The genetic basis of multiple subtypes is described using the heterogeneity model, which allows a gene/SNP to be associated with the prognosis of some subtypes but not the others. A compound penalization approach is developed to conduct gene-level analysis and identify genes that contain important SNPs associated with prognosis. The proposed approach can be realized using an iterative algorithm. Asymptotic properties are rigorously established. Simulation shows that the proposed approach has satisfactory performance and outperforms meta-analysis using penalization. An NHL (non-Hodgkin lymphoma) prognosis study with SNP measurements is analyzed. |
| 时间： | 2014年7月3日（周四）下午16:30-17:30 |
| 地点： | 经济楼N座302室 |
| 讲座语言： | English |
| 主办单位： | 太阳成tyc7111cc、王亚南经济研究院 |
| 承办单位： | 太阳成tyc7111cc统计系 |
| 期数： | 太阳成tyc7111cc高级计量经济学与统计学系列讲座2013-2014学年第十三讲（总第41讲）——刘瑾教授 |
| 联系人信息： | |
