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Latent Class Analysis: Insights about design and analysis of schistosomiasis diagnostic studies.
Koukounari, Artemis; Jamil, Haziq; Erosheva, Elena; Shiff, Clive; Moustaki, Irini.
Affiliation
  • Koukounari A; Product Development Personalized Health Care, F. Hoffmann-La Roche Ltd., Welwyn Garden, United Kingdom.
  • Jamil H; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Erosheva E; Mathematical Sciences, Faculty of Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei.
  • Shiff C; Department of Statistics, School of Social Work, Center for Statistics and the Social Sciences, University of Washington, Seattle, Washington, United States of America.
  • Moustaki I; Molecular Microbiology and Immunology Department, John Hopkins Bloomberg School of Public Health.
PLoS Negl Trop Dis ; 15(2): e0009042, 2021 02.
Article in En | MEDLINE | ID: mdl-33539357
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schistosomiasis / Models, Statistical / Diagnostic Tests, Routine Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2021 Document type: Article Affiliation country: Reino Unido Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Schistosomiasis / Models, Statistical / Diagnostic Tests, Routine Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2021 Document type: Article Affiliation country: Reino Unido Country of publication: Estados Unidos