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Test of association: which one is the most appropriate for my study?

BACKGROUND: Hypothesis tests are statistical tools widely used for assessing whether or not there is an association between two or more variables. These tests provide a probability of the type 1 error (p-value), which is used to accept or reject the null study hypothesis. OBJECTIVE: To provide a pra...

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Autores principales: Gonzalez-Chica, David Alejandro, Bastos, João Luiz, Duquia, Rodrigo Pereira, Bonamigo, Renan Rangel, Martínez-Mesa, Jeovany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Dermatologia 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4560542/
https://www.ncbi.nlm.nih.gov/pubmed/26375222
http://dx.doi.org/10.1590/abd1806-4841.20154289
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author Gonzalez-Chica, David Alejandro
Bastos, João Luiz
Duquia, Rodrigo Pereira
Bonamigo, Renan Rangel
Martínez-Mesa, Jeovany
author_facet Gonzalez-Chica, David Alejandro
Bastos, João Luiz
Duquia, Rodrigo Pereira
Bonamigo, Renan Rangel
Martínez-Mesa, Jeovany
author_sort Gonzalez-Chica, David Alejandro
collection PubMed
description BACKGROUND: Hypothesis tests are statistical tools widely used for assessing whether or not there is an association between two or more variables. These tests provide a probability of the type 1 error (p-value), which is used to accept or reject the null study hypothesis. OBJECTIVE: To provide a practical guide to help researchers carefully select the most appropriate procedure to answer the research question. We discuss the logic of hypothesis testing and present the prerequisites of each procedure based on practical examples.
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spelling pubmed-45605422015-09-09 Test of association: which one is the most appropriate for my study? Gonzalez-Chica, David Alejandro Bastos, João Luiz Duquia, Rodrigo Pereira Bonamigo, Renan Rangel Martínez-Mesa, Jeovany An Bras Dermatol Epidemiology and Biostatistics Applied to Dermatology BACKGROUND: Hypothesis tests are statistical tools widely used for assessing whether or not there is an association between two or more variables. These tests provide a probability of the type 1 error (p-value), which is used to accept or reject the null study hypothesis. OBJECTIVE: To provide a practical guide to help researchers carefully select the most appropriate procedure to answer the research question. We discuss the logic of hypothesis testing and present the prerequisites of each procedure based on practical examples. Sociedade Brasileira de Dermatologia 2015 /pmc/articles/PMC4560542/ /pubmed/26375222 http://dx.doi.org/10.1590/abd1806-4841.20154289 Text en © 2015 by Anais Brasileiros de Dermatologia http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Epidemiology and Biostatistics Applied to Dermatology
Gonzalez-Chica, David Alejandro
Bastos, João Luiz
Duquia, Rodrigo Pereira
Bonamigo, Renan Rangel
Martínez-Mesa, Jeovany
Test of association: which one is the most appropriate for my study?
title Test of association: which one is the most appropriate for my study?
title_full Test of association: which one is the most appropriate for my study?
title_fullStr Test of association: which one is the most appropriate for my study?
title_full_unstemmed Test of association: which one is the most appropriate for my study?
title_short Test of association: which one is the most appropriate for my study?
title_sort test of association: which one is the most appropriate for my study?
topic Epidemiology and Biostatistics Applied to Dermatology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4560542/
https://www.ncbi.nlm.nih.gov/pubmed/26375222
http://dx.doi.org/10.1590/abd1806-4841.20154289
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