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Home > 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

Resource Type

CF Research News

Authors

E R Andrinopoulou, J P Clancy, R D Szczesniak

References

BMC Pulm Med. 2020 May 19;20(1):142. doi: 10.1186/s12890-020-1177-z.

Document

PDF icon CF Research News Article [1]

Link

Scientific Abstract [2]

Theme

Care of patients with CF [3]
Pulmonology [4]

Keywords

Dynamic prediction [5]
functional data analysis [6]
Medical monitoring [7]
Multivariate longitudinal data [8]
Registry analysis [9]
Time-to-event [10]

Date

Tuesday, May 19, 2020

Featured resource article

Yes

Resource - Guideline Type

Other Guidelines [11]
Source URL:https://www.ecfs.eu/resource-article/cf-research-news/multivariate-joint-modeling-identify-markers-growth-and-lung

Links
[1] https://www.ecfs.eu/sites/default/files/cf-research-article-files/Andrinopoulou%20Markers_2020_FINAL.pdf [2] https://pubmed.ncbi.nlm.nih.gov/32429862/ [3] https://www.ecfs.eu/research-article-themes/care-patients-cf [4] https://www.ecfs.eu/research-article-themes/pulmonology [5] https://www.ecfs.eu/research-article-keywords/dynamic-prediction [6] https://www.ecfs.eu/research-article-keywords/functional-data-analysis [7] https://www.ecfs.eu/research-article-keywords/medical-monitoring [8] https://www.ecfs.eu/research-article-keywords/multivariate-longitudinal-data [9] https://www.ecfs.eu/research-article-keywords/registry-analysis [10] https://www.ecfs.eu/research-article-keywords/time-event [11] https://www.ecfs.eu/resource-guideline-type/other-guidelines