IVGTT glucose minimal model covariate selection by nonlinear mixed-effects approach

American Journal of Physiology - Endocrinology and Metabolism

Volumn 298, Issue 5, 2010, Pages

  Denti, Paolo ^a   Bertoldo, Alessandra ^a   Vicini, Paolo ^b   Cobelli, Claudio ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b University of Washington   (United States)

Author keywords

Glucose metabolism; Insulin sensitivity; Nonlinear mixed effects modeling; NONMEM; Population modeling

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; BODY FAT DISTRIBUTION; BODY HEIGHT; BODY WEIGHT; DEMOGRAPHY; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; HUMAN EXPERIMENT; INSULIN SENSITIVITY; INSULINEMIA; INTRAABDOMINAL FAT; INTRAVENOUS GLUCOSE TOLERANCE TEST; MALE; NORMAL HUMAN; PHYSIOLOGY; PRIORITY JOURNAL; SEX DIFFERENCE;

ADOLESCENT; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; ALGORITHMS; BLOOD GLUCOSE; BODY COMPOSITION; FEMALE; GLUCOSE TOLERANCE TEST; HUMANS; INSULIN; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; REFERENCE VALUES; REGRESSION ANALYSIS;

EID: 77950796542     PISSN: 01931849     EISSN: 15221555     Source Type: Journal    
DOI: 10.1152/ajpendo.00656.2009     Document Type: Article

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