Estimation of the optimal level of biomarkers targeted in a dynamic treatment regime
| Project/Area Number |
25730014
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 統計的因果推論 / 疫学 / 臨床試験 |
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| Outline of Final Research Achievements |
To carry "personalized medicine" for patients, that is, to conduct more effective medical treatments according to individual patient's characteristics, we should consider the set of treatment regimes (treatment strategy) that is based on patient's time-dependent biomarkers during clinical practice. In this study, I focused on "dynamic treatment regimes" that are defined as adaptive treatment strategies based on the patient's time-varying characteristics, and to estimate the appropriate levels of the biomarkers to be targeted in the regimes. In particular, I have utilized, extended, and statistically evaluated the following causal-inference methods: 1) marginal structural models, 2) structural nested models, and 3) the parametric g-computation algorithm.
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Report
(4 results)
Research Products
(8 results)
