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Bayesian modelling of lung function data from multiple-breath washout tests.
Mahar, Robert K; Carlin, John B; Ranganathan, Sarath; Ponsonby, Anne-Louise; Vuillermin, Peter; Vukcevic, Damjan.
Affiliation
  • Mahar RK; Data Science, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
  • Carlin JB; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Services, University of Melbourne, Parkville, Victoria, Australia.
  • Ranganathan S; Data Science, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
  • Ponsonby AL; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Services, University of Melbourne, Parkville, Victoria, Australia.
  • Vuillermin P; Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Services, University of Melbourne, Parkville, Victoria, Australia.
  • Vukcevic D; Department of Paediatrics, Faculty of Medicine, Dentistry and Health Services, University of Melbourne, Parkville, Victoria, Australia.
Stat Med ; 37(12): 2016-2033, 2018 05 30.
Article in En | MEDLINE | ID: mdl-29582453
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Function Tests / Bayes Theorem Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Infant Language: En Journal: Stat Med Year: 2018 Document type: Article Affiliation country: Australia Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Function Tests / Bayes Theorem Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Infant Language: En Journal: Stat Med Year: 2018 Document type: Article Affiliation country: Australia Country of publication: United kingdom