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https://ah.lib.nccu.edu.tw/handle/140.119/111019
題名: | Optimal Sample Size Determination for Medium or Large Clinical Study | 作者: | 姜志銘 Jiang, Thomas Jyh-Ming |
貢獻者: | 應數系 | 關鍵詞: | Fisher’s Exact Test; Normal Approximation Test; Clinical Trial; Clinical Significance; Efficacy Rate | 日期: | Jun-2017 | 上傳時間: | 12-Jul-2017 | 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. | 關聯: | Biomedical Statistics and Informatics, 2(3), 103-106 | 資料類型: | article | DOI: | http://dx.doi.org/10.11648/j.bsi.20170203.14 |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Description | Size | Format | |
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103-106.pdf | 157.01 kB | Adobe PDF2 | View/Open |
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