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A preliminary investigation of the effects of prenatal alcohol exposure on facial morphology in children with Autism Spectrum DisorderWhile early exposure to alcohol may influence the development of facial structures, it does not appear to be associated with ASD phenotypic variability
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Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methodsA problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling challenging.
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Content validation of the Quality of Life Inventory—DisabilitySatisfactory content validity is reported, where ongoing consumer feedback shaped the dataset from which the final items were selected
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Gaps in Current Autism Research: The Thoughts of the Autism Research Editorial Board and Associate EditorsMini‐commentaries on what they considered to be the current gaps in research on autism spectrum disorder
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An assessment of computer-generated stimuli for use in studies of body size estimation and biasOur results show that perception of body size for computer-generated stimuli was non-linear
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Estimated Therapy Costs and Downstream Cost Consequences of iBASIS-Video Interaction to Promote Positive Parenting Intervention vs Usual Care Among Children Displaying Early Behavioral Signs of Autism in AustraliaThe growing global prevalence of autism spectrum disorder is associated with increasing costs for support services. Ascertaining the effects of a successful preemptive intervention for infants showing early behavioral signs of autism on human services budgets is highly policy relevant.
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“He Sees his Autism as a Strength, Not a Deficit Now”: A Repeated Cross-Sectional Study Investigating the Impact of Strengths-Based Programs on Autistic AdolescentsRecent studies have reported that strengths-based programs, leveraging autistic adolescents' abilities and interests, could improve their skills and facilitate social engagement. However, little is known about the long-term impact of strengths-based approaches. This study aimed to explore the long-term outcomes of community strengths-based programs designed to support autistic adolescents in developing interests and skills in Science, Technology, Engineering, Arts, and Mathematics (STEAM) and the factors influencing their participation in these programs.
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Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniquesThe current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood
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Developing national guidelines for intervention with children on the autism spectrum in AustraliaInvestigators: Prof Andrew Whitehouse, Prof David Trembath Project description This project involves developing a national practice guideline for
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