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Binary Response Analysis Using Logistic Regression in Dentistry

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 v...

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Detalles Bibliográficos
Autores principales: Srimaneekarn, Natchalee, Hayter, Anthony, Liu, Wei, Tantipoj, Chanita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924599/
https://www.ncbi.nlm.nih.gov/pubmed/35310463
http://dx.doi.org/10.1155/2022/5358602
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author Srimaneekarn, Natchalee
Hayter, Anthony
Liu, Wei
Tantipoj, Chanita
author_facet Srimaneekarn, Natchalee
Hayter, Anthony
Liu, Wei
Tantipoj, Chanita
author_sort Srimaneekarn, Natchalee
collection PubMed
description 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.
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spelling pubmed-89245992022-03-17 Binary Response Analysis Using Logistic Regression in Dentistry Srimaneekarn, Natchalee Hayter, Anthony Liu, Wei Tantipoj, Chanita Int J Dent Review Article 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. Hindawi 2022-03-08 /pmc/articles/PMC8924599/ /pubmed/35310463 http://dx.doi.org/10.1155/2022/5358602 Text en Copyright © 2022 Natchalee Srimaneekarn et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Srimaneekarn, Natchalee
Hayter, Anthony
Liu, Wei
Tantipoj, Chanita
Binary Response Analysis Using Logistic Regression in Dentistry
title Binary Response Analysis Using Logistic Regression in Dentistry
title_full Binary Response Analysis Using Logistic Regression in Dentistry
title_fullStr Binary Response Analysis Using Logistic Regression in Dentistry
title_full_unstemmed Binary Response Analysis Using Logistic Regression in Dentistry
title_short Binary Response Analysis Using Logistic Regression in Dentistry
title_sort binary response analysis using logistic regression in dentistry
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924599/
https://www.ncbi.nlm.nih.gov/pubmed/35310463
http://dx.doi.org/10.1155/2022/5358602
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