Development of a shiny application for survival data analysis
| Autor: | Silva, Emanuel Vieira Monteiro da |
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| Přispěvatelé: | Machado, Luís Meira, Universidade do Minho |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Popis: | Dissertação de mestrado em Estatística para Ciência de Dados There is a great demand for graphical interfaces to perform statistical analysis by professionals who do not have good knowledge of programming. Therefore, the main objective of this project was to create an application that allows any user, regardless of their computational knowledge, to perform survival analyses. To this end, we have used the R software and the RStudio development environment and its packages, namely the shiny package, to develop an interactive web app that we called survapp. This application allows the use of different methodologies for the analysis of survival data. The survapp contains the core survival analysis models and techniques, including the Kaplan-Meier, log-rank test, Cox models, and parametric accelerated failure time models. The web application implements decision trees and random forests for survival data. An analysis of competitive risks is also possible, a particular case of multi-state models. A brief description of the mathematical background underlying survival analysis, focusing on the main methods and models and the development of the shiny application, is presented in this thesis. The Shiny app is available at the Shiny Apps repository: https://emanuel-vieira.shinyapps.io/survapp/. The application can be a very useful tool. |
| Databáze: | OpenAIRE |
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