| Presentation | 2010-06-15 Statistical testing with large multiplicity Shigeyuki OBA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Statistical hypothesis testing is a basic tool in broad areas of scientific studies and guarantees that an assertion based on a limited set of noisy data is not an overstatement below a chance-level. Recently, multiplicity of hypothesis testing is becoming more and more important in bioinformatics, brain sciences, and other fields of research that consider systems involving many elements. In multiple testing problems, the most important point is conservativeness and the second is detection power; the first point should be reserved against a large multiplicity and the latter point could be much improved by a large multiplicity of test. I will discuss basic concepts in statistical testing with large multiplicity and introduce new specific methods for considering these problems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Statistical bioinformatics / high-dimensional data analysis / testing power / correlated tests |
| Paper # | IBISML2010-15 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2010/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Statistical testing with large multiplicity |
| Sub Title (in English) | |
| Keyword(1) | Statistical bioinformatics |
| Keyword(2) | high-dimensional data analysis |
| Keyword(3) | testing power |
| Keyword(4) | correlated tests |
| 1st Author's Name | Shigeyuki OBA |
| 1st Author's Affiliation | Graduate school of Informatics, Kyoto university.:PRESTO, JST.() |
| Date | 2010-06-15 |
| Paper # | IBISML2010-15 |
| Volume (vol) | vol.110 |
| Number (no) | 76 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |