Novel metrics for growth model selection
Abstract Background Literature surrounding the statistical modeling of childhood growth data involves a diverse set of potential models from which investigators can choose. However, the lack of a comprehensive framework for comparing non-nested models leads to difficulty in assessing model performan...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-02-01
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Series: | Emerging Themes in Epidemiology |
Online Access: | http://link.springer.com/article/10.1186/s12982-018-0072-z |