期刊論文
| 學年 | 100 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2011-11-01 |
| 作品名稱 | Assessment of Various FDR Procedures |
| 作品名稱（其他語言） | |
| 著者 | Kao, Tzu-Hui; Chen, Yi-Ju; Lin, Kuo-Chin |
| 單位 | 淡江大學統計學系 |
| 出版者 | ICIC International |
| 著錄名稱、卷期、頁數 | ICIC Express Letters 5(11), pp.4007-4012 |
| 摘要 | In high dimensional studies, controlling the false discovery rate (FDR) has become an important issue where the multiplicity is a problem. Traditionally, familywise error rate (FWER) is used to control the overall type I error rate in the application of multiple comparisons. However, when many of null hypotheses are false, FWER tendsto be more conservative and has less power. To improve the drawbacks of FWER, an innovative approach based on FDR can be used. The purpose of this article is to compare the performance of current step-up and step-down procedures and detect the merits and flaws of these procedures. In addition, the comparison of those procedures is illustrated by an example. |
| 關鍵字 | FDR; Multiple testing; Power; Type I error rate |
| 語言 | en |
| ISSN | 1881-803X |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | Kao, Tzu-Hui |
| 審稿制度 | 是 |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/90193 ) |