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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-8924599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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