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Using joint modelling to assess the association between a time-varying biomarker and a survival outcome: an illustrative example in respiratory medicine

Yuntao Chen, Douwe Postmus, Martin R. Cowie, Holger Woehrle, Karl Wegscheider, Anita K. Simonds, Marike Boezen, Virend K. Somers, Helmut Teschler, Christine Eulenburg
European Respiratory Journal 2021 57: 2003206; DOI: 10.1183/13993003.03206-2020
Yuntao Chen
1Dept of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
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  • ORCID record for Yuntao Chen
Douwe Postmus
1Dept of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
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Martin R. Cowie
2Imperial College London, London, UK
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Holger Woehrle
3ResMed Science Center, ResMed Germany Inc., Martinsried, Germany
4Sleep and Ventilation Center Blaubeuren, Respiratory Center Ulm, Ulm, Germany
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Karl Wegscheider
5Dept of Medical Biometry and Epidemiology, University Medical Center Eppendorf, Hamburg, Germany
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Anita K. Simonds
6Sleep and Ventilation Unit, Royal Brompton and Harefield NHS Foundation Trust, London, UK
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Marike Boezen
1Dept of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
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Virend K. Somers
7Mayo Clinic and Mayo Foundation, Rochester, MN, USA
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Helmut Teschler
8Dept of Pneumology, Ruhrlandklinik, West German Lung Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
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Christine Eulenburg
1Dept of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
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Abstract

Joint modelling is a valuable method to accurately estimate the association between a time-varying biomarker and a survival outcome. The idea of the joint modelling closely reflects contemporary trends in medicine: personalised and dynamic. https://bit.ly/3pbMBFX

Footnotes

  • Conflict of interest: Y. Chen has nothing to disclose.

  • Conflict of interest: D. Postmus has nothing to disclose.

  • Conflict of interest: M.R. Cowie has nothing to disclose.

  • Conflict of interest: H. Woehrle has nothing to disclose.

  • Conflict of interest: K. Wegscheider has nothing to disclose.

  • Conflict of interest: A.K. Simonds has nothing to disclose.

  • Conflict of interest: M. Boezen has nothing to disclose.

  • Conflict of interest: V.K. Somers has served on a steering committee for SERV HF, outside the submitted work.

  • Conflict of interest: H. Teschler has nothing to disclose.

  • Conflict of interest: C. Eulenburg has nothing to disclose.

  • Received August 19, 2020.
  • Accepted November 4, 2020.
  • Copyright ©ERS 2021
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Vol 57 Issue 2 Table of Contents
European Respiratory Journal: 57 (2)
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Using joint modelling to assess the association between a time-varying biomarker and a survival outcome: an illustrative example in respiratory medicine
Yuntao Chen, Douwe Postmus, Martin R. Cowie, Holger Woehrle, Karl Wegscheider, Anita K. Simonds, Marike Boezen, Virend K. Somers, Helmut Teschler, Christine Eulenburg
European Respiratory Journal Feb 2021, 57 (2) 2003206; DOI: 10.1183/13993003.03206-2020

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Using joint modelling to assess the association between a time-varying biomarker and a survival outcome: an illustrative example in respiratory medicine
Yuntao Chen, Douwe Postmus, Martin R. Cowie, Holger Woehrle, Karl Wegscheider, Anita K. Simonds, Marike Boezen, Virend K. Somers, Helmut Teschler, Christine Eulenburg
European Respiratory Journal Feb 2021, 57 (2) 2003206; DOI: 10.1183/13993003.03206-2020
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