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Direct linkCholemkery, Hannah; Medda, Juliane; Lempp, Thomas; Freitag, Christine M. – Journal of Autism and Developmental Disorders, 2016
To reduce phenotypic heterogeneity of Autism spectrum disorders (ASD) and add to the current diagnostic discussion this study aimed at identifying clinically meaningful ASD subgroups. Cluster analyses were used to describe empirically derived groups based on the Autism Diagnostic Interview-revised (ADI-R) in a large sample of n = 463 individuals…
Descriptors: Autism, Pervasive Developmental Disorders, Multivariate Analysis, Children
Obafemi-Ajayi, Tayo; Miles, Judith H.; Takahashi, T. Nicole; Qi, Wenchuan; Aldridge, Kristina; Zhang, Minqi; Xin, Shi-Qing; He, Ying; Duan, Ye – Journal of Autism and Developmental Disorders, 2015
Varied cluster analysis were applied to facial surface measurements from 62 prepubertal boys with essential autism to determine whether facial morphology constitutes viable biomarker for delineation of discrete Autism Spectrum Disorders (ASD) subgroups. Earlier study indicated utility of facial morphology for autism subgrouping (Aldridge et al. in…
Descriptors: Factor Structure, Autism, Pervasive Developmental Disorders, Proximity
Lecavalier, Luc – Journal of Autism and Developmental Disorders, 2006
Parents or teachers rated 487 non-clinically referred young people with Pervasive Developmental Disorders on the Nisonger Child Behavior Rating Form. The objectives of the study were to examine the relative prevalence of specific behavior problems, assess the impact of subject characteristics, and derive an empirical classification of behavioral…
Descriptors: Incidence, Emotional Problems, Child Behavior, Children
