A flexible multivariate random effects proportional odds model with application to adverse effects during radiation therapy
Nicole Augustin, Sung Won Kim, Annemarie Uhlig, Christina Hanser,, Michael Henke, Martin Schumacher

TL;DR
This paper introduces a new flexible multivariate random effects proportional odds model to analyze longitudinal mucositis severity across different mouth sites during radiation therapy, accounting for dose and individual variability.
Contribution
The paper develops a novel extension of the proportional odds model that incorporates multivariate responses, random effects, and non-linear dose effects for analyzing mucositis data.
Findings
Different mouth sites show varying sensitivity to radiation-induced mucositis.
Cumulative radiation dose and mouth site are the strongest predictors of mucositis severity.
Age and gender have negligible effects on mucositis scores.
Abstract
Radiation therapy in patients with head and neck cancer has a toxic effect on mucosa, the soft tissue in and around the mouth. Hence mucositis is a serious common side effect and is a condition characterized by pain and inflammation of the surface of the mucosa. Although the mucosa recovers during breaks of and following the radiotherapy course the recovery will depend on the type of tissue involved and on its location. We present a novel flexible multivariate random effects proportional odds model which takes account of the longitudinal course of oral mucositis at different mouth sites and of the radiation dosage (in terms of cumulative dose). The model is an extension of the {\em proportional odds model} which is used for ordinal response variables. Our model includes the ordinal multivariate response of the mucositis score by location, random intercepts for individuals and includes a…
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