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MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists

User-friendly interfaces have been increasingly used to facilitate the learning of advanced statistical methodology, especially for students with only minimal statistical training. In this paper, we illustrate the use of MBGapp for teaching geostatistical analysis to population health scientists. Us...

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Detalles Bibliográficos
Autores principales: Johnson, Olatunji, Fronterre, Claudio, Diggle, Peter J., Amoah, Benjamin, Giorgi, Emanuele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719748/
https://www.ncbi.nlm.nih.gov/pubmed/34972193
http://dx.doi.org/10.1371/journal.pone.0262145
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author Johnson, Olatunji
Fronterre, Claudio
Diggle, Peter J.
Amoah, Benjamin
Giorgi, Emanuele
author_facet Johnson, Olatunji
Fronterre, Claudio
Diggle, Peter J.
Amoah, Benjamin
Giorgi, Emanuele
author_sort Johnson, Olatunji
collection PubMed
description User-friendly interfaces have been increasingly used to facilitate the learning of advanced statistical methodology, especially for students with only minimal statistical training. In this paper, we illustrate the use of MBGapp for teaching geostatistical analysis to population health scientists. Using a case-study on Loa loa infections, we show how MBGapp can be used to teach the different stages of a geostatistical analysis in a more interactive fashion. For wider accessibility and usability, MBGapp is available as an R package and as a Shiny web-application that can be freely accessed on any web browser. In addition to MBGapp, we also present an auxiliary Shiny app, called VariagramApp, that can be used to aid the teaching of Gaussian processes in one and two dimensions using simulations.
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spelling pubmed-87197482022-01-01 MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists Johnson, Olatunji Fronterre, Claudio Diggle, Peter J. Amoah, Benjamin Giorgi, Emanuele PLoS One Research Article User-friendly interfaces have been increasingly used to facilitate the learning of advanced statistical methodology, especially for students with only minimal statistical training. In this paper, we illustrate the use of MBGapp for teaching geostatistical analysis to population health scientists. Using a case-study on Loa loa infections, we show how MBGapp can be used to teach the different stages of a geostatistical analysis in a more interactive fashion. For wider accessibility and usability, MBGapp is available as an R package and as a Shiny web-application that can be freely accessed on any web browser. In addition to MBGapp, we also present an auxiliary Shiny app, called VariagramApp, that can be used to aid the teaching of Gaussian processes in one and two dimensions using simulations. Public Library of Science 2021-12-31 /pmc/articles/PMC8719748/ /pubmed/34972193 http://dx.doi.org/10.1371/journal.pone.0262145 Text en © 2021 Johnson et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Johnson, Olatunji
Fronterre, Claudio
Diggle, Peter J.
Amoah, Benjamin
Giorgi, Emanuele
MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists
title MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists
title_full MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists
title_fullStr MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists
title_full_unstemmed MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists
title_short MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists
title_sort mbgapp: a shiny application for teaching model-based geostatistics to population health scientists
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719748/
https://www.ncbi.nlm.nih.gov/pubmed/34972193
http://dx.doi.org/10.1371/journal.pone.0262145
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