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- W1893832010 abstract "The multiple correspondence analysis is a powerful technique to identify groups with similarities relatively to a large sets of parameters, revealing the patterning of complex data sets. Signs of atopies and various allergies were listed in asthmatic children and their closer family. The data analysis has permitted to uncover predominance in children of low ranks of birth, frequency of rhinitis, onset in infancy of bronchiolitis, strong links between rhinitis and conjunctivitis, opposed links between rhinitis and bronchiolitis, and a significant impact of background family history. The multiple correspondence analysis highlighted this importance of family background and showed remarkable groupings in relation to modalities of the studied parameters such as existence of atopic dermatitis children with father more than the mother background, higher propensity of the mother to transmit atopy to her children and the fact the father transmits atopy more to girls than boys." @default.
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- W1893832010 date "2013-11-13" @default.
- W1893832010 modified "2023-09-27" @default.
- W1893832010 title "Statistical Approaches in Identifying Relationships in Disease Background Parameters using Multiple Correspondence Analysis: Case of Atopies in Relation to Asthma" @default.
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- W1893832010 doi "https://doi.org/10.15835/buasvmcn-asb:70:1:9244" @default.
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