| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
This project aims to develop measures of statistical model for survival outcomes and related variables such as biomarkers, and methods that detects responsive subgroups in data. As for the first issue, an estimation method of C-index for interval censored data is proposed. Further, a modification of the IDI (integrated discriminant improvement) is developed to overcome critical concerns in the original IDI. As for the second issue, a cluster-wise linear model is extended based on the generalized mean, which is called Kolmogorov-Nagumo average. The extended model involves several models proposed in the previous study as special caes. Through numerical experiments, the superiority of the proposed model is implied.
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