B4313 - Predicting outcomes for autistic children - 03/05/2023

B number: 
Principal applicant name: 
Andrew Pickles | Department of Biostatistics and Health Informatics, IoPPN, Kings College London (United Kingdom)
Mr Gordon Forbes
Title of project: 
Predicting outcomes for autistic children
Proposal summary: 

Autistic may people face challenges with living independently, employment and education, mental health and quality of life. Different autistic people face challenges in different areas, and the extent of the difficulties they face may vary. This project aims to use data from existing studies of autistic people, to provide predictions of areas where difficulties are more or less likely, based on an individuals characteristics and experiences. This project will pool data from multiple studies, including ALSPAC, to give a larger sample size and allow comparisons of model performance in different settings.

Impact of research: 
This research has the potential to inform clinical practice by making information on outcomes in adulthood and adolescence that are more or less likely for an autistic child available to autistic people, their families and the professionals they work with. The work will also increase understanding of trajectories of outcomes for autistic children and how these vary across different settings.
Date proposal received: 
Wednesday, 19 April, 2023
Date proposal approved: 
Wednesday, 3 May, 2023
Clinical research/clinical practice, Developmental disorders - autism, Statistical methods, Childhood - childcare, childhood adversity, Cognition - cognitive function