Analysis of Complex Survival Data: a tutorial using the Shiny MSM.app application
Gustavo Soutinho (1), Lu\'is Meira-Machado (2) ((1) EPIUnit -, University of Porto, (2) Centre of Mathematics, University of Minho)

TL;DR
This paper introduces MSM.app, an interactive web application built with Shiny in R, designed to facilitate the analysis of complex survival data in multi-state models for biomedical research.
Contribution
It provides a user-friendly, open-source tool that simplifies the interpretation of multi-state survival models without requiring advanced statistical knowledge.
Findings
MSM.app enables easy visualization of multi-state model results
The tool improves interpretability of complex survival data
It supports biomedical applications with accessible interface
Abstract
The development of applications for obtaining interpretable results in a simple and summarized manner in multi-state models is a research field with great potential, namely in terms of using open source tools that can be easily implemented in biomedical applications. In this tutorial, we introduce MSM.app, an interactive web application using the Shiny package for the R language. In the following sections, we present the main functionalities of the MSM.app and an explanation of the outputs obtained for better understanding, independent of the statistical knowledge of users.
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Taxonomy
TopicsMental Health Research Topics · Machine Learning in Healthcare · Advanced Causal Inference Techniques
