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Are We Under-Estimating the Association Between Autism Symptoms?: The Importance of Considering Simultaneous Selection When Using Samples of Individuals Who Meet Diagnostic Criteria for an Autism Spectrum Disorder / Aja Louise MURRAY in Journal of Autism and Developmental Disorders, 44-11 (November 2014)
[article]
Titre : Are We Under-Estimating the Association Between Autism Symptoms?: The Importance of Considering Simultaneous Selection When Using Samples of Individuals Who Meet Diagnostic Criteria for an Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Aja Louise MURRAY, Auteur ; Karen MCKENZIE, Auteur ; Renate KUENSSBERG, Auteur ; Michael O’DONNELL, Auteur Article en page(s) : p.2921-2930 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Range restriction Fractionable triad Simultaneous selection Sampling Index. décimale : PER Périodiques Résumé : The magnitude of symptom inter-correlations in diagnosed individuals has contributed to the evidence that autism spectrum disorders (ASD) is a fractionable disorder. Such correlations may substantially under-estimate the population correlations among symptoms due to simultaneous selection on the areas of deficit required for diagnosis. Using statistical simulations of this selection mechanism, we provide estimates of the extent of this bias, given different levels of population correlation between symptoms. We then use real data to compare domain inter-correlations in the Autism Spectrum Quotient, in those with ASD versus a combined ASD and non-ASD sample. Results from both studies indicate that samples restricted to individuals with a diagnosis of ASD potentially substantially under-estimate the magnitude of association between features of ASD. En ligne : http://dx.doi.org/10.1007/s10803-014-2154-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241
in Journal of Autism and Developmental Disorders > 44-11 (November 2014) . - p.2921-2930[article] Are We Under-Estimating the Association Between Autism Symptoms?: The Importance of Considering Simultaneous Selection When Using Samples of Individuals Who Meet Diagnostic Criteria for an Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Aja Louise MURRAY, Auteur ; Karen MCKENZIE, Auteur ; Renate KUENSSBERG, Auteur ; Michael O’DONNELL, Auteur . - p.2921-2930.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 44-11 (November 2014) . - p.2921-2930
Mots-clés : Autism spectrum disorder Range restriction Fractionable triad Simultaneous selection Sampling Index. décimale : PER Périodiques Résumé : The magnitude of symptom inter-correlations in diagnosed individuals has contributed to the evidence that autism spectrum disorders (ASD) is a fractionable disorder. Such correlations may substantially under-estimate the population correlations among symptoms due to simultaneous selection on the areas of deficit required for diagnosis. Using statistical simulations of this selection mechanism, we provide estimates of the extent of this bias, given different levels of population correlation between symptoms. We then use real data to compare domain inter-correlations in the Autism Spectrum Quotient, in those with ASD versus a combined ASD and non-ASD sample. Results from both studies indicate that samples restricted to individuals with a diagnosis of ASD potentially substantially under-estimate the magnitude of association between features of ASD. En ligne : http://dx.doi.org/10.1007/s10803-014-2154-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241