Biostatistical Assessment of Mutagenicity Studies: A Stepwise Confidence Procedure

IF 1 Q3 STATISTICS & PROBABILITY Journal of Probability and Statistics Pub Date : 2019-04-14 DOI:10.1155/2019/3249097
Michael J. Adjabui, Nathaniel K. Howard, M. Akamba
{"title":"Biostatistical Assessment of Mutagenicity Studies: A Stepwise Confidence Procedure","authors":"Michael J. Adjabui, Nathaniel K. Howard, M. Akamba","doi":"10.1155/2019/3249097","DOIUrl":null,"url":null,"abstract":"The paper addresses the issue of identifying the maximum safe dose in the context of noninferiority trials where several doses of toxicological compounds exist. Statistical methodology for identifying the maximum safe dose is available for three-arm noninferiority designs with only one experimental drug treatment. Extension of this methodology for several experimental groups exists but with multiplicity adjustment. However, if the experimental or the treatment groups can be ordered a priori according to their treatment effect, then multiplicity adjustment is unneeded. Assuming homogeneity of variances across dose group in normality settings, we employed the generalized Fieller’s confidence interval method in a multiple comparison stepwise procedure by incorporating the partitioning principle in order to control the familywise error rate (FWER). Simulation results revealed that the procedure properly controlled the FWER in strong sense. Also, the power of our procedure increases with increasing sample size and the ratio of mean differences. We illustrate our procedure with mutagenicity dataset from a clinical study.","PeriodicalId":44760,"journal":{"name":"Journal of Probability and Statistics","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2019-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2019/3249097","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Probability and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2019/3249097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 3

Abstract

The paper addresses the issue of identifying the maximum safe dose in the context of noninferiority trials where several doses of toxicological compounds exist. Statistical methodology for identifying the maximum safe dose is available for three-arm noninferiority designs with only one experimental drug treatment. Extension of this methodology for several experimental groups exists but with multiplicity adjustment. However, if the experimental or the treatment groups can be ordered a priori according to their treatment effect, then multiplicity adjustment is unneeded. Assuming homogeneity of variances across dose group in normality settings, we employed the generalized Fieller’s confidence interval method in a multiple comparison stepwise procedure by incorporating the partitioning principle in order to control the familywise error rate (FWER). Simulation results revealed that the procedure properly controlled the FWER in strong sense. Also, the power of our procedure increases with increasing sample size and the ratio of mean differences. We illustrate our procedure with mutagenicity dataset from a clinical study.
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
致突变性研究的生物统计学评估:逐步置信度程序
本文讨论了在存在几种剂量毒理学化合物的非劣效性试验中确定最大安全剂量的问题。确定最大安全剂量的统计方法可用于只有一种实验药物治疗的三组非劣效性设计。该方法已扩展到几个实验组,但进行了多重性调整。然而,如果实验组或治疗组可以根据其治疗效果进行先验排序,则不需要进行多重性调整。假设在正态性设置中,剂量组之间的方差是均匀的,我们在多重比较逐步过程中采用了广义Fieller置信区间方法,结合了划分原理,以控制家庭误差率(FWER)。仿真结果表明,该程序在很强的意义上正确地控制了FWER。此外,我们的程序的能力随着样本量和平均差异比率的增加而增加。我们用一项临床研究的致突变性数据集来说明我们的程序。
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
Journal of Probability and Statistics
Journal of Probability and Statistics STATISTICS & PROBABILITY-
自引率
0.00%
发文量
14
审稿时长
18 weeks
期刊最新文献
Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails Exponentially Generated Modified Chen Distribution with Applications to Lifetime Dataset Bayesian Estimation of the Stress-Strength Reliability Based on Generalized Order Statistics for Pareto Distribution Monitoring Changes in Clustering Solutions: A Review of Models and Applications Fitting Time Series Models to Fisheries Data to Ascertain Age
×
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