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; Martín Cowie; Holger Woehrle; Karl Wegscheider; Anita K. Simonds; Marike Boezen; Virend K. Somers; Helmut Teschler; Christine zu Eulenburg

doi:10.1183/13993003.03206-2020

November 26, 2020European Respiratory JournalOpen Access

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

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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

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Chen et al. (2020) studied this question.

synapsesocial.com/papers/6a124005d3ce54256966a1ff https://doi.org/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

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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

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