Home > Research > Publications & Outputs > MBGapp

Research

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists. / Johnson, Olatunji; Fronterre, Claudio; Diggle, Peter et al.
In: PLoS One, Vol. 16, No. 12, e0262145, 31.12.2021.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Johnson, O, Fronterre, C, Diggle, P, Amoah, B & Giorgi, E 2021, 'MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists', PLoS One, vol. 16, no. 12, e0262145. https://doi.org/10.1371/journal.pone.0262145

APA

Johnson, O., Fronterre, C., Diggle, P., Amoah, B., & Giorgi, E. (2021). MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists. PLoS One, 16(12), Article e0262145. https://doi.org/10.1371/journal.pone.0262145

Vancouver

Johnson O, Fronterre C, Diggle P, Amoah B, Giorgi E. MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists. PLoS One. 2021 Dec 31;16(12):e0262145. doi: 10.1371/journal.pone.0262145

Author

Johnson, Olatunji ; Fronterre, Claudio ; Diggle, Peter et al. / MBGapp : A Shiny application for teaching model-based geostatistics to population health scientists. In: PLoS One. 2021 ; Vol. 16, No. 12.

Bibtex

@article{fc78c58e9b7a493c8722c95a0cb0de3b,
title = "MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists",
abstract = "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.",
author = "Olatunji Johnson and Claudio Fronterre and Peter Diggle and Benjamin Amoah and Emanuele Giorgi",
year = "2021",
month = dec,
day = "31",
doi = "10.1371/journal.pone.0262145",
language = "English",
volume = "16",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "12",

}

RIS

TY - JOUR

T1 - MBGapp

T2 - A Shiny application for teaching model-based geostatistics to population health scientists

AU - Johnson, Olatunji

AU - Fronterre, Claudio

AU - Diggle, Peter

AU - Amoah, Benjamin

AU - Giorgi, Emanuele

PY - 2021/12/31

Y1 - 2021/12/31

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pone.0262145

DO - 10.1371/journal.pone.0262145

M3 - Journal article

VL - 16

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 12

M1 - e0262145

ER -