Term: Akaike Information Criterion (AIC)
Last Updated: 2012-05-16
A criterion used to measure the relative goodness of fit of a statistical model (i.e. how well a model fits the observed data). Given a particular dataset, potential models can be ranked according to their AIC values in order for one to be selected.
- Santos R, Brownell M, Ekuma O, Mayer T, Soodeen R-A. The Early Development Instrument (EDI) in Manitoba: Linking Socioeconomic Adversity and Biological Vulnerability at Birth to Children's Outcomes at Age 5. Winnipeg, MB: Manitoba Centre for Health Policy, 2012. [Report] [Summary] (View)
Manitoba Centre for Health Policy
Community Health Sciences, Max Rady College of Medicine,
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University of Manitoba
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