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

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  • Siti Haslinda Mohd Din
  • Marek Molas
  • Jolanda Luime
  • Emmanuel Lesaffre

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.

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  • Siti Haslinda Mohd Din & Marek Molas & Jolanda Luime & Emmanuel Lesaffre, 2014. "Longitudinal profiles of bounded outcome scores as predictors for disease activity in rheumatoid arthritis patients: a joint modeling approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(8), pages 1627-1644, August.
    • Handle: RePEc:taf:japsta:v:41:y:2014:i:8:p:1627-1644
    DOI: 10.1080/02664763.2014.882499
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    1. C. Y. Wang & Naisyin Wang & Suojin Wang, 2000. "Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements," Biometrics, The International Biometric Society, vol. 56(2), pages 487-495, June.
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    1. Ricardo Rasmussen Petterle & Wagner Hugo Bonat & Cassius Tadeu Scarpin, 2019. "Quasi-beta Longitudinal Regression Model Applied to Water Quality Index Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 346-368, June.

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