Sample size recommendation for a bioequivalent study

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2017-04-07 DOI:10.6092/ISSN.1973-2201/6699
C. Bhupathi, Venakata HaraGopal Vajjha
{"title":"Sample size recommendation for a bioequivalent study","authors":"C. Bhupathi, Venakata HaraGopal Vajjha","doi":"10.6092/ISSN.1973-2201/6699","DOIUrl":null,"url":null,"abstract":"There are clear guidelines and suggestions on the sample size and power calculation from health authorities (HA) for Bio equivalence (BE) studies in Healthy volunteers (HV). The suggested power is at least 80\\% and type 1 error is 5\\%. In real life situations, the clinical trials plan with more than 80\\%, giving rise to larger sample size. The increased power means more subjects, more wastage of time and more resources to complete the study, resulting in more money spent. This paper attempts to show how much reduction in the sample size can be achieved without affecting the scientific validity of the study and also the brief summary on the overall effect of reduced sample size on resources (subjects, time, blood and cost). We executed simulations in order to show the impact on the power and the 2 one sided confidence interval approach to show the study equivalence or otherwise. For illustration purpose, a couple of 2 period cross over studies were considered. 100 simulations were executed with different sample sizes to compare with the original results.","PeriodicalId":45117,"journal":{"name":"Statistica","volume":"77 1","pages":"65-71"},"PeriodicalIF":1.6000,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6092/ISSN.1973-2201/6699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 6

Abstract

There are clear guidelines and suggestions on the sample size and power calculation from health authorities (HA) for Bio equivalence (BE) studies in Healthy volunteers (HV). The suggested power is at least 80\% and type 1 error is 5\%. In real life situations, the clinical trials plan with more than 80\%, giving rise to larger sample size. The increased power means more subjects, more wastage of time and more resources to complete the study, resulting in more money spent. This paper attempts to show how much reduction in the sample size can be achieved without affecting the scientific validity of the study and also the brief summary on the overall effect of reduced sample size on resources (subjects, time, blood and cost). We executed simulations in order to show the impact on the power and the 2 one sided confidence interval approach to show the study equivalence or otherwise. For illustration purpose, a couple of 2 period cross over studies were considered. 100 simulations were executed with different sample sizes to compare with the original results.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
生物等效性研究的样本量建议
卫生当局(HA)对健康志愿者(HV)的生物等效性(BE)研究的样本量和功率计算有明确的指导和建议。建议功率至少为80%,类型1误差为5%。在现实生活情况下,临床试验计划率超过80%,样本量更大。权力的增加意味着更多的受试者,更多的时间浪费和更多的资源来完成研究,从而导致更多的资金花费。本文试图展示在不影响研究的科学有效性的情况下可以实现多少样本量的减少,以及对减少样本量对资源(受试者,时间,血液和成本)的总体影响的简要总结。我们进行了模拟,以显示对功率的影响,并使用双侧置信区间方法来显示研究的等效性或其他。为了说明目的,考虑了两个时期的交叉研究。采用不同样本量进行了100次模拟,与原始结果进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
A New Discrete Distribution: Properties, Characterizations, Modeling Real Count Data, Bayesian and Non-Bayesian Estimations Polynomial Columns-Parameter Symmetry Model and its Decomposition for Square Contingency Tables A Class of Univariate Non-Mesokurtic Distributions Using a Continuous Uniform Symmetrizer and Chi Generator The Marshall-Olkin Gompertz Distribution: Properties and Applications Estimation of Cumulative Incidence Function in the Presence of Middle Censoring Using Improper Gompertz Distribution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1