| dc.contributor | 應數系 | |
| dc.creator (作者) | 姜志銘 | zh-tw |
| dc.creator (作者) | Jiang, Thomas Jyh-Ming | en-US |
| dc.date (日期) | 2017-06 | |
| dc.date.accessioned | 12-Jul-2017 15:13:43 (UTC+8) | - |
| dc.date.available | 12-Jul-2017 15:13:43 (UTC+8) | - |
| dc.date.issued (上傳時間) | 12-Jul-2017 15:13:43 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/111019 | - |
| dc.description.abstract (摘要) | Clinical trials are often costly, and time consuming. The ability to get new products into the market early is critical to the success of pharmaceutical and medical device companies. Most practitioners use Fisher`s exact tests to determine the required sample size for testing efficacy rates. We shall argue that when the sample size is not too small, normal approximation tests should be used instead of Fisher`s exact tests. Several different sets of hypotheses and their corresponding formulas to compute sample size for clinical trial based upon normal approximation test are given. | |
| dc.format.extent | 160774 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Biomedical Statistics and Informatics, 2(3), 103-106 | |
| dc.subject (關鍵詞) | Fisher’s Exact Test; Normal Approximation Test; Clinical Trial; Clinical Significance; Efficacy Rate | |
| dc.title (題名) | Optimal Sample Size Determination for Medium or Large Clinical Study | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.11648/j.bsi.20170203.14 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.11648/j.bsi.20170203.14 | |
