Novel Mathematical Models for Investigating Topics in Obesity
Author(s) -
John Dawson,
Kevin D. Hall,
Diana M. Thomas,
James W. Hardin,
David B. Allison,
Steven B. Heymsfield
Publication year - 2014
Publication title -
advances in nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.362
H-Index - 90
eISSN - 2156-5376
pISSN - 2161-8313
DOI - 10.3945/an.114.006569
Subject(s) - george (robot) , etiology , obesity , simple (philosophy) , computer science , data science , artificial intelligence , medicine , epistemology , pathology , philosophy
There is limited insight into the mechanisms, progression, and related comorbidities of obesity through simple modeling tools such as linear regression. Keeping in mind the words of the late George E. P. Box that “all models are wrong, some are useful,” this symposium presented 4 useful mathematical models or methodologic refinements. Presenters placed specific emphasis on how these novel models and methodologies can be applied to further our knowledge of the etiology of obesity.
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