ArticlePloS one2021
MBGapp: A Shiny application for teaching model-based geostatistics to population health scientists.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- JSTMapp: A web-based joint spatiotemporal modelling and mapping application for epidemiologists.PloS one · 2025Article
- Short-term and long-term effects of the COVID-19 pandemic on child psychological well-being: a four-wave longitudinal study.European child & adolescent psychiatry · 2024Article
- spconfShiny: An R Shiny application for calculating the spatial scale of smoothing splines for point data.PloS one · 2024Article
- Article
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Authors and funding
5 authors.
Funding
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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.
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Registered trials
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