Related Experiment Video
Updated: Jan 29, 2026

Eye Tracking Young Children with Autism
Published on: March 27, 2012
Autism With and Without Regression: A Two-Year Prospective Longitudinal Study in Two Population-Derived Swedish
Lucy Thompson1,2, Christopher Gillberg3,4, Sara Landberg3
1Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden. Lucy.Thompson@gnc.gu.se.
Abstract:
Two community-based cohorts of children with autism spectrum disorder, examined using similar assessment protocols, were pooled (n = 301) and subdivided according to history of regression. Those with regression (n = 62), 20.5% of the combined cohort, were contrasted with those without regression (n = 241) at first assessment (age range 19-60 months) and at 2-year follow-up on a range of measures. The regression group was significantly more functionally impaired, with regard to intellectual function (p < .001), language development (p < .001), and to severity of autism (p < .01) at both T1 and T2. Only 14 (23.3%) had a clearly identified underlying etiology [24 (18.6%) in the non-regressive group]. There were no significant differences between those who had regressed 'from normal' and those who had regressed 'from low' functioning.
Related Concept Videos
Longitudinal Studies
Regression Toward the Mean
Longitudinal Research
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Correlation and Regression
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:

