Longitudinal profiles of bounded outcome scores as predictors for disease activity in rheumatoid arthritis patients: a joint modeling approach

Abstract

A variety of statistical approaches have been suggested in the literature for the analysis of bounded outcome scores (BOS). In this paper, we suggest a statistical approach when BOSs are repeatedly measured over time and used as predictors in a regression model. Instead of directly using the BOS as a predictor, we propose to extend the approaches suggested in [16,21,28] to a joint modeling setting. Our approach is illustrated on longitudinal profiles of multiple patients’ reported outcomes to predict the current clinical status of rheumatoid arthritis patients by a disease activities score of 28 joints (DAS28). Both a maximum likelihood as well as a Bayesian approach is developed.

• Bayesian approach
• bounded outcome score
• joint modeling
• longitudinal profiles
• rheumatology

Acknowledgements

This data collection was funded by an unrestricted investigator initiated grant from Pfizer, Inc. The first author thank the Malaysian government for awarding the Federal Training Award. Special thanks are due to Margot Walter for preparing the data.