Using beta regression modeling in medical sciences: a comparative study

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
M. Abonazel, Hadir A. Said, E. Tag-eldin, Suzan Abdel-Rahman, Ibrahim G. Khattab
{"title":"Using beta regression modeling in medical sciences: a comparative study","authors":"M. Abonazel, Hadir A. Said, E. Tag-eldin, Suzan Abdel-Rahman, Ibrahim G. Khattab","doi":"10.28919/cmbn/6144","DOIUrl":null,"url":null,"abstract":": Beta regression (BR) models provide an adequate approach for modeling continuous outcomes of limited intervals (0, 1). The BR model assumes that the dependent variable follows a beta distribution and that its mean is affiliated to a set of exploratory variables through a linear predictor known as coefficients and link function. The BR model also includes a dispersion parameter. This paper describes the BR model along with its properties. Furthermore, the comparison between different link functions of the BR model is conducted through a medical real-life application","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Mathematical Biology and Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28919/cmbn/6144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

: Beta regression (BR) models provide an adequate approach for modeling continuous outcomes of limited intervals (0, 1). The BR model assumes that the dependent variable follows a beta distribution and that its mean is affiliated to a set of exploratory variables through a linear predictor known as coefficients and link function. The BR model also includes a dispersion parameter. This paper describes the BR model along with its properties. Furthermore, the comparison between different link functions of the BR model is conducted through a medical real-life application
在医学科学中使用贝塔回归模型:一项比较研究
β回归(BR)模型为有限区间(0,1)的连续结果建模提供了一种适当的方法。BR模型假设因变量遵循β分布,其均值通过称为系数和链接函数的线性预测器与一组探索性变量相关联。BR模型还包括一个色散参数。本文描述了BR模型及其性质。此外,通过医学实际应用对BR模型的不同链路函数进行了比较
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 求助全文
来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信