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The application of subset correspondence analysis to address the problem of missing data in a study on asthma severity in childhood.
Hendry, G; North, D; Zewotir, T; Naidoo, R N.
Affiliation
  • Hendry G; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa.
Stat Med ; 33(22): 3882-93, 2014 Sep 28.
Article in En | MEDLINE | ID: mdl-24789717
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Asthma / Epidemiologic Methods / Models, Statistical / Air Pollutants / Environmental Exposure Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Female / Humans / Male Country/Region as subject: Africa Language: En Journal: Stat Med Year: 2014 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Asthma / Epidemiologic Methods / Models, Statistical / Air Pollutants / Environmental Exposure Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Female / Humans / Male Country/Region as subject: Africa Language: En Journal: Stat Med Year: 2014 Document type: Article Affiliation country: