Twenty-six studies were included and provided evidence that high-risk and later diagnosed infants are exposed to similar amounts of IDS as their neurotypical peers. The second aim was to investigate if any IDS characteristics used by caregivers of high-risk or diagnosed infant populations predicted language development. The aim of this study was twofold the first aim was to scope the literature to determine if evidence exists for differences between the IDS caregivers use to infants at high-risk or those later diagnosed with autism, and the IDS typically spoken to neurotypical infants. The use of infant-directed speech (IDS), which is the speech register used when interacting with infants, is associated with infant language and socio-communicative development. Infants diagnosed with autism spectrum disorder (autism) have difficulty engaging in social communication and interactions with others and often experience language impairment. School of Medicine & Public Health, Faculty of Health & Medicine, University of Newcastle | Australia
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Professional Experience UON Appointment Titleįaculty of Health and Medicine, University of Newcastleġ7th Annual J.B. Graduate Diploma in Medical Statistics, University of Newcastle.Bachelor of Mathematics, University of Newcastle.Doctor of Philosophy, University of Newcastle.
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In addition to his varied collaborations, Daniel's current research focus is on adaptive clinical trials, which are trials that contain per-specified statistical rules that potentially trigger a change in the way the trial is conducted in order to make best use of available resources. He was awarded his PhD in January 2018 for his research on the design and analysis of stepped wedge cluster randomised trials. He began his postgraduate education with a Masters of Medical Statistics in 2010, but he opted to graduate early with a Graduate Diploma in 2012 so that he could commence a PhD in Clinical Epidemiology and Medical Statistics the following year. Daniel collaborates frequently with researchers and clinicians both nationally and internationally and his expertise has been applied to a wide variety of medical research topics including, cancer, cardiovascular disease, drug and alcohol, indigenous health, nutrition, pharmaceuticals, respiratory and stroke.ĭaniel graduated from the University of Newcastle with a Bachelor of Mathematics in 2006. He has 15 years experience as an applied statistician in health related research and in addition to being well-versed in common statistical methods, he specialises in the design of complex clinical trials and the modelling of data that is longitudinal or otherwise correlated. Daniel is a part time senior lecturer of medical statistics with the School of Medicine and Public Health and concurrently a part time senior statistician with the Hunter Medical Research Institute's data sciences division.
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