Methodology of causal inference when an unmeasured confounder exists
| Project/Area Number |
23700344
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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 | Kinki University |
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Principal Investigator |
CHIBA Yasutaka 近畿大学, 医学部附属病院, 講師 (80362474)
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2014: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2013: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2012: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2011: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
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| Keywords | 因果推論 / 統計科学 |
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| Outline of Final Research Achievements |
I proposed some sensitivity analysis methods for unmeasured confounders. In addition, I discussed a relationship between two conditions that can be used to derive the bounds on which the casual effect must be included, and compared these two conditions. When an instrumental variable exists, I derived the bounds for causal effects with several populations as the standard population, by applying the concept of principal stratification.
I presented the bounds for the principal strata effect when an unmeasured confounder exists. Furthermore, I showed that principal strata effects correspond to direct and indirect effects under special assumptions including the monotonicity assumption. I derived the bound for direct and indirect effects the sensitivity analysis methods. For the derivation, I applied those for the principal strata effect.
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Report
(5 results)
Research Products
(31 results)
