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Diagnostic evaluation for autism spectrum disorder: A survey of health professionals in AustraliaReported practice of some professionals in Australia may not be consistent with international best practice guidelines for ASD diagnosis
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A genome-wide approach to children's aggressive behavior: The EAGLE consortiumCommon variants at 2p12 show suggestive evidence for association with childhood aggression
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Psychotic experiences and their significanceClinical perspective from the ultra high risk (UHR) paradigm, that aims to identify people at high risk of psychotic disorder
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Vitamin D in fetal development: Findings from a birth cohort studyBirth cohort studies provide an invaluable resource for studies of the influence of the fetal environment on health in later life.
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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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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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Impact of adolescent peer aggression on later educational and employment outcomes in an Australian cohortThis study used prospective birth cohort data to analyse the relationship between peer aggression at 14 years of age and educational and employment outcomes...
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Maternal vitamin D deficiency alters fetal brain development in the BALB/c mouse.Prenatal exposure to vitamin D is thought to be critical for optimal fetal neurodevelopment, yet vitamin D deficiency is apparent in a growing proportion of...
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Characterising Insistence on Sameness and Circumscribed Interests: A Qualitative Study of Parent PerspectivesManifestations of insistence on sameness and circumscribed interests are complex, with individuals varying considerably, not only in the types of behaviours they express, but also in terms of a behaviour's frequency, intensity, trajectory, adaptive benefits, and impacts.
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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.