Abstract:ObjectiveTo analyze the classification of specific allergic patients based on latent class regression analysis for early prevention of allergic diseases. Methods Using PROC LCA module of SAS software, latent class regression analysis was performed on 1124 specific allergic patients. Results Four latent class memberships and latent class probabilities were obtained. Latent class memberships were named as mold cockroach inhalation group,outdoor pollen group, dermatophagoides pteronyssinus group and comprehensive allergens group, whose probability of occurring was 0.3134, 0.3646, 0.2799 and 0.0422, respectively. Having sex as covariate, it was found that significant difference existed among four latent class memberships (P<0.05) .ConclusionsThe classification of specific allergic patients obtained through latent class regression analysis is the combination of allergens, and the association between allergens is produced by the latent class. Using latent class membership to prevent the occurrence of specific allergy is of more practical significance.
王蕊,张茂祥,李萌,刘妍妍,于磊,刘美娜. 基于潜类别回归对特异性过敏患者的分类研究[J]. 实用预防医学, 2015, 22(5): 517-519.
WANG Rui, ZHANG Mao-xiang, LI Meng, LIU Yan-yan, YU Lei, LIU Mei-na. Study on classification of specific allergic patients based on latent class regression analysis. , 2015, 22(5): 517-519.
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