Development of C-index-based survival tree and its application to biomedical research
Project/Area Number |
24700276
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Multi-year Fund |
Research Field |
Statistical science
|
Research Institution | Osaka University |
Principal Investigator |
HAYASHI Kenichi 大阪大学, 医学(系)研究科(研究院), 助教 (70617274)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | 医学統計学 / 生存時間データ / C-index / 二重打ち切りデータ / Decision Tree / クロスバリデーション / C統計量 |
Outline of Final Research Achievements |
This project investigated a concordance probability for time-to-event data called the C-index and its applicability to Survival Tree. The C-index can be seen as an extension of the area under the ROC curve for binary data. However, the existence of censored individuals causes a bias in estimating the C-index. We proposed some estimators for the C-index which reduce the bias, and demonstrated their superiority to the existing estimators via numerical experiments.
|
Report
(4 results)
Research Products
(16 results)
-
-
[Journal Article] Sample size determination in group-sequential clinical trials with two co-primary endpoints2014
Author(s)
Asakura, K., Hamasaki, T., Sugimoto, T., Hayashi, K., Evans, S., Sozu T
-
Journal Title
Statistics in Medicine
Volume: (First published online)
Issue: 17
Pages: 2897-2913
DOI
Related Report
Peer Reviewed / Open Access
-
-
-
-
-
-
-
-
-
-
-
-
-
-