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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李文宗 | |
| dc.contributor.author | Ya-Hui Yang | en |
| dc.contributor.author | 楊雅惠 | zh_TW |
| dc.date.accessioned | 2021-06-16T03:38:50Z | - |
| dc.date.available | 2020-03-12 | |
| dc.date.copyright | 2015-03-12 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-02-25 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54803 | - |
| dc.description.abstract | 生物醫學研究者進行研究時，經常會遇到大p小n的情境—個案數很少，但測量變數卻很多。我們提出模糊置換法，以解決小樣本情況下的多重檢定問題。此方法引進模糊量至標準置換法中產生隨機p值，而後轉換成q值以控制錯誤發現率。蒙地卡羅模擬顯示，我們的方法在資料是常態或非常態的情況下，都有良好的統計性質。我們分析一筆實際資料，作為範例。大p小n的情境下，我們推薦使用本研究提出的模糊置換法。 | zh_TW |
| dc.description.abstract | Biomedical researchers often encounter the large-p-small-n situations—a great number of variables are measured/recorded for only a few subjects. The authors propose a fuzzy permutation method to address the multiple testing problem for small sample size studies. The method introduces fuzziness into standard permutation analysis to produce randomized p-values, which are then converted into q-values for false discovery rate controls. Monte-Carlo simulations show that the proposed method has desirable statistical properties when the study variables are normally or non-normally distributed. A real dataset is analyzed to illustrate its use. The proposed fuzzy permutation method is recommended for use in the large-p-small-n settings. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T03:38:50Z (GMT). No. of bitstreams: 1 ntu-104-R01849015-1.pdf: 327916 bytes, checksum: 8f20013e062a1a703fbd67dc8b2c0336 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 中文摘要 ii Abstract iii List of Figures v List of Tables vi Introduction 1 Methods 3 Simulation Study 5 An Example 8 Discussion 10 Reference 11 Figure Legends 15 Appendix 1 23 Appendix 2 24 Appendix 3 25 | |
| dc.language.iso | en | |
| dc.subject | 置換法 | zh_TW |
| dc.subject | 蒙地卡羅模擬 | zh_TW |
| dc.subject | 多重比較 | zh_TW |
| dc.subject | 錯誤發現率 | zh_TW |
| dc.subject | 隨機p值 | zh_TW |
| dc.subject | false discovery rate | en |
| dc.subject | multiple comparisons | en |
| dc.subject | Monte-Carlo simulation | en |
| dc.subject | permutation | en |
| dc.subject | randomized p-values | en |
| dc.title | 錯誤發現率控制之模糊置換法 | zh_TW |
| dc.title | A Fuzzy Permutation Method for False Discovery Rate Control | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蔡政安,蕭朱杏,林菀俞 | |
| dc.subject.keyword | 錯誤發現率,多重比較,隨機p值,置換法,蒙地卡羅模擬, | zh_TW |
| dc.subject.keyword | false discovery rate,multiple comparisons,randomized p-values,permutation,Monte-Carlo simulation, | en |
| dc.relation.page | 25 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-02-25 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 流行病學與預防醫學研究所 | zh_TW |
| 顯示於系所單位： | 流行病學與預防醫學研究所 | |
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|---|---|---|---|
| ntu-104-1.pdf 未授權公開取用 | 320.23 kB | Adobe PDF |
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