A multidimensional latent class Rasch model for the assessment of the Health-related Quality of Life
Silvia Bacci, Francesco Bartolucci
TL;DR
This paper introduces a multidimensional latent class Rasch model to improve the measurement of health-related quality of life, anxiety, and depression in cancer patients, providing a nuanced analysis of patient-reported outcomes.
Contribution
It develops a novel multidimensional latent class Rasch model tailored for assessing complex health-related quality of life data in oncological patients.
Findings
Effective modeling of multidimensional health data
Enhanced understanding of patient-reported outcomes
Potential for improved clinical assessments
Abstract
The work describes a multidimensional latent class Rasch model and its application to data about the measurement of some aspects of Health-related Quality of Life and Anxiety and Depression in oncological patients.
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