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Plos One|May 11, 2017
Functional data analysis of sleeping energy expenditureJong Soo Lee, Issa F Zakeri, Nancy F ButteDisease Markers|October 30, 2013
Multivariate path analysis of serum 25-hydroxyvitamin D concentration, inflammation, and risk of type 2 diabetes mellitusShaum M Kabadi, Longjian Liu, Amy H Auchincloss, et al.Archives of Pediatrics & Adolescent Medicine|December 8, 2004
Relationships between maternal and child cardiovascular risk factors: ethnic differences and lack of influence of physical activityRussell Jago, Tom Baranowski, Kathy Watson, et al.Journal of Applied Physiology (Bethesda, Md. : 1985)|November 7, 2009
Multivariate adaptive regression splines models for the prediction of energy expenditure in children and adolescentsIssa F Zakeri, Anne L Adolph, Maurice R Puyau, et al.The Journal of Nutrition|November 30, 2012
Cross-sectional time series and multivariate adaptive regression splines models using accelerometry and heart rate predict energy expenditure of preschoolersIssa F Zakeri, Anne L Adolph, Maurice R Puyau, et al.Journal of the American College of Nutrition|October 11, 2008
Are energy dense diets also nutrient dense?Theresa A Nicklas, Carol E O'Neil, Jason Mendoza, et al.Journal of Physical Activity & Health|July 9, 2016
Energy Cost of Activities in Preschool-Aged ChildrenMaurice R Puyau, Anne L Adolph, Yan Liu, et al.Journal of Applied Physiology (Bethesda, Md. : 1985)|May 4, 2013
Modeling energy expenditure in children and adolescents using quantile regressionYunwen Yang, Anne L Adolph, Maurice R Puyau, et al.Physiological Reports|December 5, 2013
Support vector machines classifiers of physical activities in preschoolersWei Zhao, Anne L Adolph, Maurice R Puyau, et al.The American Journal of Clinical Nutrition|May 9, 2014
Revision of Dietary Reference Intakes for energy in preschool-age childrenNancy F Butte, William W Wong, Theresa A Wilson, et al.Pageof 3