Work

Patient-reported outcomes and survival analysis of chronic obstructive pulmonary disease patients: a two-stage joint modelling approach

Year: 2024

Type: article

Abstract: Joint modelling has gained attention in longitudinal studies incorporating biomarkers and survival data. In the context of chronic diseases, patient evolution is often tracked through multiple assessments, with patient-reported outcomes playing a crucial role. The Beta-Binomial distribution is suggested as a suitable model for these longitudinal variables. However, its integration into joint modelling remains unexplored. This study introduces an estimation procedure for analyzing longitudinal patient-reported outcomes and survival data together. We compare different estimation approaches through simulation experiments, including the proposed model. Furthermore, the methodologies are applied to real data from a follow-up study on chronic obstructive pulmonary disease patients.

Source: UPCommons institutional repository (Universitat Politècnica de Catalunya)

DOI: 10.57645/20.8080.02.17

Authors: Galán-Arcicollar, Cristina, Najera-Zuloaga, Josu, Lee, Dae Jin

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Eusko Jaurlaritza, Ministerio de Ciencia e Innovación, Basque Center for Applied Mathematics, Agencia Estatal de Investigación