Survapp: A shiny application for survival data analysis

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dc.contributor.authorSilva, Emanuel Vieira Monteiro da
dc.contributor.authorMeira-Machado, Luís Filipe
dc.contributor.authorSoutinho, Gustavo
dc.date.accessioned2025-01-27T14:35:31Z
dc.date.available2025-01-27T14:35:31Z
dc.date.issued2025-01-11
dc.description.abstractThere is a substantial demand for user-friendly graphical interfaces that empower professionals with limited programming knowledge to perform statistical analysis. Although R software is widely used for statistical analysis, it lacks an adequately intuitive graphical interface for individuals without statistical and programming skills. This paper aims to address this gap by introducing an application called Survapp, enabling users, regardless of their computational knowledge, to conduct survival analysis. The development leveraged R software, RStudio, and the Shiny package to create an interactive web app. Survapp incorporates diverse methodologies for analyzing survival data, including Kaplan-Meier, log-rank tests, Cox regression models, parametric accelerated failure time models, decision trees, random forests, and competitive risk analysis (a specific case of multi-state models). Survapp enables users to analyze survival data, offering example databases for various methodologies within the application. However, the primary objective is to allow users to import their own data and conduct their respective analyses in a user-friendly environment. A distinguishing aspect of Survapp is its interface, bridging the gap between complex statistical methods and users with limited statistical and programming expertise.
dc.identifier.citationSilva, E. V. M., Meira-Machado, L. F., & Soutinho, G. (2025). Survapp: A shiny application for survival data analysis. In L. Henriques-Rodrigues, R. Menezes, L. Meira-Machado, S. Faria, & M. Carvalho (Eds.), New Frontiers in Statistics and Data Science. SPE 2023. Springer Proceedings in Mathematics & Statistics, Guimarães, Portugal, 11-14 October 2023, (vol. 469, pp. 1-13). Springer. https://doi.org/10.1007/978-3-031-68949-9_9. Repositório Institucional UPT. https://hdl.handle.net/11328/6063
dc.identifier.isbn978-3-031-68948-2
dc.identifier.isbn978-3-031-68949-9
dc.identifier.urihttps://hdl.handle.net/11328/6063
dc.language.isoeng
dc.publisherSpringer
dc.relation.hasversionhttps://doi.org/10.1007/978-3-031-68949-9_9
dc.rightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSurvapp
dc.subjectData Analysis
dc.subject.fosCiências Naturais - Ciências da Computação e da Informação
dc.titleSurvapp: A shiny application for survival data analysis
dc.typeconference paper
dcterms.referenceshttps://link.springer.com/chapter/10.1007/978-3-031-68949-9_9#citeas
dspace.entity.typePublication
oaire.citation.conferenceDate2024-10-11
oaire.citation.conferencePlaceGuimarães, Portugal
oaire.citation.endPage13
oaire.citation.startPage1
oaire.citation.titleNew Frontiers in Statistics and Data Science. SPE 2023. Springer Proceedings in Mathematics & Statistics
person.affiliation.nameDCT - Departamento de Ciência e Tecnologia
person.familyNameSoutinho
person.givenNameGustavo
person.identifier.ciencia-id0918-604C-2C04
person.identifier.orcid0000-0002-0559-1327
person.identifier.ridGSE-1063-2022
person.identifier.scopus-author-id57195326662
relation.isAuthorOfPublication6b00013b-9493-4621-b710-79beb48b65a4
relation.isAuthorOfPublication.latestForDiscovery6b00013b-9493-4621-b710-79beb48b65a4

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