Common pitfalls in statistical analysis: Logistic regression

Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic regression analysis and the limitations of this technique.

Detalles Bibliográficos
Autores principales: Ranganathan, Priya, Pramesh, C. S., Aggarwal, Rakesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Statistics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543767/
https://www.ncbi.nlm.nih.gov/pubmed/28828311
http://dx.doi.org/10.4103/picr.PICR_87_17
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author Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
author_facet Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
author_sort Ranganathan, Priya
collection PubMed
description Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic regression analysis and the limitations of this technique.
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spelling pubmed-55437672017-08-21 Common pitfalls in statistical analysis: Logistic regression Ranganathan, Priya Pramesh, C. S. Aggarwal, Rakesh Perspect Clin Res Statistics Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic regression analysis and the limitations of this technique. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5543767/ /pubmed/28828311 http://dx.doi.org/10.4103/picr.PICR_87_17 Text en Copyright: © 2017 Perspectives in Clinical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Statistics
Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
Common pitfalls in statistical analysis: Logistic regression
title Common pitfalls in statistical analysis: Logistic regression
title_full Common pitfalls in statistical analysis: Logistic regression
title_fullStr Common pitfalls in statistical analysis: Logistic regression
title_full_unstemmed Common pitfalls in statistical analysis: Logistic regression
title_short Common pitfalls in statistical analysis: Logistic regression
title_sort common pitfalls in statistical analysis: logistic regression
topic Statistics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543767/
https://www.ncbi.nlm.nih.gov/pubmed/28828311
http://dx.doi.org/10.4103/picr.PICR_87_17
work_keys_str_mv AT ranganathanpriya commonpitfallsinstatisticalanalysislogisticregression
AT prameshcs commonpitfallsinstatisticalanalysislogisticregression
AT aggarwalrakesh commonpitfallsinstatisticalanalysislogisticregression

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