Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784625003985108992 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8719748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT johnsonolatunji mbgappashinyapplicationforteachingmodelbasedgeostatisticstopopulationhealthscientists AT fronterreclaudio mbgappashinyapplicationforteachingmodelbasedgeostatisticstopopulationhealthscientists AT digglepeterj mbgappashinyapplicationforteachingmodelbasedgeostatisticstopopulationhealthscientists AT amoahbenjamin mbgappashinyapplicationforteachingmodelbasedgeostatisticstopopulationhealthscientists AT giorgiemanuele mbgappashinyapplicationforteachingmodelbasedgeostatisticstopopulationhealthscientists |