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

Research Square(2020)10.21203/rs.2.17740/v2Source: DataRank Database

Multivariate joint modeling to identify markers of growth and lung function decline that predict cystic fibrosis pulmonary exacerbation onset is a research paper published in Research Square (2020). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: goldTopics (37)IDs (PubMed)SDGs (2)

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Authors (3)

John Clancy ORCID,Rhonda D. Szczesniak ORCID,Eleni‐Rosalina Andrinopoulou ORCID

Live enrichment

PubMed:42529674

National Institutes of Health

Grant: 5K25HL125954-05

Preventing rapid decline in CF: statistical research career commitment

National Institutes of Health

Grant: 5R01HL141286-05

R01- Mapping environmental contributions to rapid lung disease progression in cystic fibrosis

goldLicense: CC BY

publisherhttps://www.researchsquare.com/article/rs-8372/v2

publisherhttps://www.researchsquare.com/article/rs-8372/v2.html

https://doi.org/10.21203/rs.2.17740/v3

https://repub.eur.nl/pub/127274/Repub_127274_O-A.pdf

https://doi.org/10.21203/rs.2.17740/v1

Fields of Study

01 natural sciences03 medical and health sciences0302 clinical medicine0101 mathematics

Keywords

MaleAdolescentCystic FibrosisEMC OR-01Nutritional StatusMedical monitoringDiseases of the respiratory systemYoung AdultTime-to-eventHumansLongitudinal StudiesRegistriesChildRegistry analysisLungModels, StatisticalRC705-779United StatesRespiratory Function TestsFunctional data analysisMultivariate AnalysisDisease ProgressionRegression AnalysisFemaleDynamic predictionMultivariate longitudinal dataChild Nutritional Physiological PhenomenaBiomarkersResearch Articlenavigationoperative efficiencyspine surgeryultrasonography

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 3: 3. Good health