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Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package
Threat conditioning procedures have allowed the experimental investigation of the pathogenesis of Post-Traumatic Stress Disorder. The findings of these procedures have also provided stable foundations for the development of relevant intervention programs (e.g. exposure therapy). Statistical inference...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632775/ https://www.ncbi.nlm.nih.gov/pubmed/29038683 http://dx.doi.org/10.1080/20008198.2017.1314782 |
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author | Krypotos, Angelos-Miltiadis Klugkist, Irene Engelhard, Iris M. |
author_facet | Krypotos, Angelos-Miltiadis Klugkist, Irene Engelhard, Iris M. |
author_sort | Krypotos, Angelos-Miltiadis |
collection | PubMed |
description | Threat conditioning procedures have allowed the experimental investigation of the pathogenesis of Post-Traumatic Stress Disorder. The findings of these procedures have also provided stable foundations for the development of relevant intervention programs (e.g. exposure therapy). Statistical inference of threat conditioning procedures is commonly based on p-values and Null Hypothesis Significance Testing (NHST). Nowadays, however, there is a growing concern about this statistical approach, as many scientists point to the various limitations of p-values and NHST. As an alternative, the use of Bayes factors and Bayesian hypothesis testing has been suggested. In this article, we apply this statistical approach to threat conditioning data. In order to enable the easy computation of Bayes factors for threat conditioning data we present a new R package named condir, which can be used either via the R console or via a Shiny application. This article provides both a non-technical introduction to Bayesian analysis for researchers using the threat conditioning paradigm, and the necessary tools for computing Bayes factors easily. |
format | Online Article Text |
id | pubmed-5632775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-56327752017-10-16 Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package Krypotos, Angelos-Miltiadis Klugkist, Irene Engelhard, Iris M. Eur J Psychotraumatol Basic Research Article Threat conditioning procedures have allowed the experimental investigation of the pathogenesis of Post-Traumatic Stress Disorder. The findings of these procedures have also provided stable foundations for the development of relevant intervention programs (e.g. exposure therapy). Statistical inference of threat conditioning procedures is commonly based on p-values and Null Hypothesis Significance Testing (NHST). Nowadays, however, there is a growing concern about this statistical approach, as many scientists point to the various limitations of p-values and NHST. As an alternative, the use of Bayes factors and Bayesian hypothesis testing has been suggested. In this article, we apply this statistical approach to threat conditioning data. In order to enable the easy computation of Bayes factors for threat conditioning data we present a new R package named condir, which can be used either via the R console or via a Shiny application. This article provides both a non-technical introduction to Bayesian analysis for researchers using the threat conditioning paradigm, and the necessary tools for computing Bayes factors easily. Taylor & Francis 2017-05-16 /pmc/articles/PMC5632775/ /pubmed/29038683 http://dx.doi.org/10.1080/20008198.2017.1314782 Text en © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Basic Research Article Krypotos, Angelos-Miltiadis Klugkist, Irene Engelhard, Iris M. Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
title | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
title_full | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
title_fullStr | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
title_full_unstemmed | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
title_short | Bayesian hypothesis testing for human threat conditioning research: an introduction and the condir R package |
title_sort | bayesian hypothesis testing for human threat conditioning research: an introduction and the condir r package |
topic | Basic Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632775/ https://www.ncbi.nlm.nih.gov/pubmed/29038683 http://dx.doi.org/10.1080/20008198.2017.1314782 |
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