Term: Akaike Information Criterion (AIC)

Glossary Definition

Last Updated: 2012-05-16

Definition:

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.

References 

• 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)