Multivariate joint modeling to identify markers of growth and lung function decline that predict cystic fibrosis pulmonary exacerbation onset

Multivariate joint modeling to identify markers of growth and lung function decline that predict cystic fibrosis pulmonary exacerbation onset

Abstract Background Attenuated decreases in lung function can signal the onset of acute respiratory events known as pulmonary exacerbations (PEs) in children and adolescents with cystic fibrosis (CF). Univariate joint modeling facilitates dynamic risk prediction of PE onset and accounts for measurem...

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Bibliographic Details
Main Authors: E. R. Andrinopoulou, J. P. Clancy, R. D. Szczesniak
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Pulmonary Medicine
Subjects:
Dynamic prediction
Functional data analysis
Medical monitoring
Multivariate longitudinal data
Registry analysis
Time-to-event
Online Access:http://link.springer.com/article/10.1186/s12890-020-1177-z

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http://link.springer.com/article/10.1186/s12890-020-1177-z

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