Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus

Abstract Background Multi-state models are used in complex disease pathways to describe a process where an individual moves from one state to the next, taking into account competing states during each transition. In a multi-state setting, there are various measures to be estimated that are of great...

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Autores principales:	Nikolaos Skourlis, Michael J. Crowther, Therese M-L. Andersson, Paul C. Lambert
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Web tool Multi-state models Interactive Shiny Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/e5b535961c204da8bfd621f3bca9a6fe
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spelling	oai:doaj.org-article:e5b535961c204da8bfd621f3bca9a6fe2021-11-28T12:38:51ZDevelopment of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus10.1186/s12874-021-01420-91471-2288https://doaj.org/article/e5b535961c204da8bfd621f3bca9a6fe2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12874-021-01420-9https://doaj.org/toc/1471-2288Abstract Background Multi-state models are used in complex disease pathways to describe a process where an individual moves from one state to the next, taking into account competing states during each transition. In a multi-state setting, there are various measures to be estimated that are of great epidemiological importance. However, increased complexity of the multi-state setting and predictions over time for individuals with different covariate patterns may lead to increased difficulty in communicating the estimated measures. The need for easy and meaningful communication of the analysis results motivated the development of a web tool to address these issues. Results MSMplus is a publicly available web tool, developed via the Shiny R package, with the aim of enhancing the understanding of multi-state model analyses results. The results from any multi-state model analysis are uploaded to the application in a pre-specified format. Through a variety of user-tailored interactive graphs, the application contributes to an improvement in communication, reporting and interpretation of multi-state analysis results as well as comparison between different approaches. The predicted measures that can be supported by MSMplus include, among others, the transition probabilities, the transition intensity rates, the length of stay in each state, the probability of ever visiting a state and user defined measures. Representation of differences, ratios and confidence intervals of the aforementioned measures are also supported. MSMplus is a useful tool that enhances communication and understanding of multi-state model analyses results. Conclusions Further use and development of web tools should be encouraged in the future as a means to communicate scientific research.Nikolaos SkourlisMichael J. CrowtherTherese M-L. AnderssonPaul C. LambertBMCarticleWeb toolMulti-state modelsInteractiveShinyMedicine (General)R5-920ENBMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Web tool Multi-state models Interactive Shiny Medicine (General) R5-920
spellingShingle	Web tool Multi-state models Interactive Shiny Medicine (General) R5-920 Nikolaos Skourlis Michael J. Crowther Therese M-L. Andersson Paul C. Lambert Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus
description	Abstract Background Multi-state models are used in complex disease pathways to describe a process where an individual moves from one state to the next, taking into account competing states during each transition. In a multi-state setting, there are various measures to be estimated that are of great epidemiological importance. However, increased complexity of the multi-state setting and predictions over time for individuals with different covariate patterns may lead to increased difficulty in communicating the estimated measures. The need for easy and meaningful communication of the analysis results motivated the development of a web tool to address these issues. Results MSMplus is a publicly available web tool, developed via the Shiny R package, with the aim of enhancing the understanding of multi-state model analyses results. The results from any multi-state model analysis are uploaded to the application in a pre-specified format. Through a variety of user-tailored interactive graphs, the application contributes to an improvement in communication, reporting and interpretation of multi-state analysis results as well as comparison between different approaches. The predicted measures that can be supported by MSMplus include, among others, the transition probabilities, the transition intensity rates, the length of stay in each state, the probability of ever visiting a state and user defined measures. Representation of differences, ratios and confidence intervals of the aforementioned measures are also supported. MSMplus is a useful tool that enhances communication and understanding of multi-state model analyses results. Conclusions Further use and development of web tools should be encouraged in the future as a means to communicate scientific research.
format	article
author	Nikolaos Skourlis Michael J. Crowther Therese M-L. Andersson Paul C. Lambert
author_facet	Nikolaos Skourlis Michael J. Crowther Therese M-L. Andersson Paul C. Lambert
author_sort	Nikolaos Skourlis
title	Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus
title_short	Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus
title_full	Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus
title_fullStr	Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus
title_full_unstemmed	Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus
title_sort	development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: msmplus
publisher	BMC
publishDate	2021
url	https://doaj.org/article/e5b535961c204da8bfd621f3bca9a6fe
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Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus

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