Srimaneekarn Natchalee, Hayter Anthony, Liu Wei, Tantipoj Chanita
Department of Anatomy, Faculty of Dentistry, Mahidol University, Bangkok 10400, Thailand.
Department of Business Information and Analytics, University of Denver, Denver, CO 80208-8921, USA.
Int J Dent. 2022 Mar 8;2022:5358602. doi: 10.1155/2022/5358602. eCollection 2022.
Multivariate analysis with binary response is extensively utilized in dental research due to variations in dichotomous outcomes. One of the analyses for binary response variable is binary logistic regression, which explores the associated factors and predicts the response probability of the binary variable. This article aims to explain the statistical concepts of binary logistic regression analysis applicable to the field of dental research, including model fitting, goodness of fit test, and model validation. Moreover, interpretation of the model and logistic regression are also discussed with relevant examples. Practical guidance is also provided for dentists and dental researchers to enhance their basic understanding of binary logistic regression analysis.
由于二分结果存在差异，具有二元响应的多变量分析在牙科研究中被广泛应用。二元响应变量的分析方法之一是二元逻辑回归，它探索相关因素并预测二元变量的响应概率。本文旨在解释适用于牙科研究领域的二元逻辑回归分析的统计概念，包括模型拟合、拟合优度检验和模型验证。此外，还通过相关示例讨论了模型和逻辑回归的解释。同时为牙医和牙科研究人员提供了实用指南，以增强他们对二元逻辑回归分析的基本理解。
