Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/111019


Title: Optimal Sample Size Determination for Medium or Large Clinical Study
Authors: 姜志銘
Jiang, Thomas Jyh-Ming
Contributors: 應數系
Keywords: Fisher’s Exact Test;Normal Approximation Test;Clinical Trial;Clinical Significance;Efficacy Rate
Date: 2017-06
Issue Date: 2017-07-12 15:13:43 (UTC+8)
Abstract: 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.
Relation: Biomedical Statistics and Informatics, 2(3), 103-106
Data Type: article
DOI 連結: http://dx.doi.org/10.11648/j.bsi.20170203.14
Appears in Collections:[應用數學系] 期刊論文

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