2009 Fiscal Year Final Research Report
Inference in the statistical models for counting processes information with incomplete data and studies of three types of partial likelihoods
| Project/Area Number |
19700263
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | Osaka University |
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Principal Investigator |
SUGIMOTO Tomoyuki Osaka University, 医学系研究科, 助教 (70324829)
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| Project Period (FY) |
2007 – 2009
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| Keywords | 統計的推測 |
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| Research Abstract |
We consider methods for statistical inference in order to confirm or discovery a scientific knowledge under investigation from the data collected by following up times at which individuals sampled or selected from the population experience the event of interest. Then, if the observed data include uncertain concomitant information for individuals, it is founded that there are at least three types of statistical inference methods, based on outlooks in mathematical science. We studied whether the 3-types are truly valid methods in science, and how the 3-types are related to each other, so that we could obtain several useful findings on contributions in mathematical science and applications to substantial science fields.
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Research Products
(8 results)
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[Presentation] Sema4A as a diagnostic marker and its pathogenic roles in multiple sclerosis2009
Author(s)
Nakatsuji, Y., Moriya, M., Okuno, T., Kinoshita, M., Sugimoto, T., Nakano, M., Kikutani, H., Sakoda, S., Kumanogoh, A.
Organizer
25th Congress of the European Committee for the Treatment and Research in Multiple Sclerosis
Place of Presentation
Germany
Year and Date
20090909-20090912
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