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Gepubliceerd in: Journal of Autism and Developmental Disorders 11/2014

01-11-2014 | Original Paper

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

Auteurs: Aja Louise Murray, Karen McKenzie, Renate Kuenssberg, Michael O’Donnell

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 11/2014

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Abstract

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.
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Metagegevens
Titel
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
Auteurs
Aja Louise Murray
Karen McKenzie
Renate Kuenssberg
Michael O’Donnell
Publicatiedatum
01-11-2014
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 11/2014
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-014-2154-2