| Project/Area Number |
25330039
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Statistical science
|
|---|
| Research Institution | Shiga University (2016)
Oita University (2013-2015) |
|---|
Principal Investigator |
Izumi Shizue 滋賀大学, データサイエンス教育研究センター, 教授 (70344413)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
玉腰 暁子 北海道大学, 医学研究科, 教授 (90236737)
伊藤 陽一 北海道大学, 医学研究科, 准教授 (10334236)
野間 久史 統計数理研究所, データ科学研究系, 准教授 (70633486)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
TAKEUCHI AYANO 慶應義塾大学, 医学部, 専任講師 (80511196)
Cologne John 放射線影響研究所, 統計部, 研究員 (50344411)
|
|---|
| Research Collaborator |
SUENAGA SATOSHI
NAGATA DAIKI
|
|---|
| Project Period (FY) |
2013-04-01 – 2017-03-31
|
| Project Status |
Completed (Fiscal Year 2016)
|
| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
|---|
| Keywords | 医薬生物 / ゲノム統計解析 / ビッグデータ活用 / ゲノム疫学 |
|---|
| Outline of Final Research Achievements |
In the case-cohort study, costly and laborious research can be greatly saved by measuring expensive genome information only from selected subjects, not the entire cohort. However, since data observed from the target frequently includes missing values, data analysis becomes difficult. In this study, we developed a novel theoretical framework for case-cohort studies when measurements of interests are known to be missing. We also examined the application of the proposed method to large-scale genomic epidemiological studies. From results verified by numerical experiments, when the outcomes of the majority of the subjects in the cohort are missing, the sub-cohort extraction or data analysis performed by the traditional method leads bias in the effects of the interesting variable.
|
