Constructing and Interpreting Logistic Regression Analyses in Orthopedic Clinical Research.

IF 1.7 4区 医学 Q3 CLINICAL NEUROLOGY
Clinical Spine Surgery Pub Date : 2025-07-01 Epub Date: 2025-04-18 DOI:10.1097/BSD.0000000000001816
Teeto Ezeonu, Rajkishen Narayanan, Rachel Huang, Matthew Sherman
{"title":"Constructing and Interpreting Logistic Regression Analyses in Orthopedic Clinical Research.","authors":"Teeto Ezeonu, Rajkishen Narayanan, Rachel Huang, Matthew Sherman","doi":"10.1097/BSD.0000000000001816","DOIUrl":null,"url":null,"abstract":"<p><p>Retrospective cohort analyses are a common study design in orthopaedic clinical research given their feasibility. Nevertheless, this study design is subject to inherent biases caused by confounding variables. Logistic regression analyses are important statistical tools that can be used to clarify relationships between independent and binary dependent variables. The purpose of this paper is to provide a broad overview of logistic regression analyses and guide the interpretation of these analyses in orthopaedic clinical research.</p>","PeriodicalId":10457,"journal":{"name":"Clinical Spine Surgery","volume":" ","pages":"304-307"},"PeriodicalIF":1.7000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Spine Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/BSD.0000000000001816","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/18 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Retrospective cohort analyses are a common study design in orthopaedic clinical research given their feasibility. Nevertheless, this study design is subject to inherent biases caused by confounding variables. Logistic regression analyses are important statistical tools that can be used to clarify relationships between independent and binary dependent variables. The purpose of this paper is to provide a broad overview of logistic regression analyses and guide the interpretation of these analyses in orthopaedic clinical research.

逻辑回归分析在骨科临床研究中的构建与解释。
回顾性队列分析是骨科临床研究中常见的研究设计,因为它具有可行性。然而,本研究设计受到混杂变量引起的固有偏差的影响。逻辑回归分析是重要的统计工具,可以用来澄清自变量和二元因变量之间的关系。本文的目的是提供逻辑回归分析的广泛概述,并指导这些分析在骨科临床研究中的解释。
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
Clinical Spine Surgery
Clinical Spine Surgery Medicine-Surgery
CiteScore
3.00
自引率
5.30%
发文量
236
期刊介绍: Clinical Spine Surgery is the ideal journal for the busy practicing spine surgeon or trainee, as it is the only journal necessary to keep up to date with new clinical research and surgical techniques. Readers get to watch leaders in the field debate controversial topics in a new controversies section, and gain access to evidence-based reviews of important pathologies in the systematic reviews section. The journal features a surgical technique complete with a video, and a tips and tricks section that allows surgeons to review the important steps prior to a complex procedure. Clinical Spine Surgery provides readers with primary research studies, specifically level 1, 2 and 3 studies, ensuring that articles that may actually change a surgeon’s practice will be read and published. Each issue includes a brief article that will help a surgeon better understand the business of healthcare, as well as an article that will help a surgeon understand how to interpret increasingly complex research methodology. Clinical Spine Surgery is your single source for up-to-date, evidence-based recommendations for spine care.
×
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:604180095
Book学术官方微信