Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test

Journal of Pharmacokinetics and Pharmacodynamics

Volumn 37, Issue 1, 2010, Pages 85-98

  Møller, Jonas B ^a,b   Overgaard, Rune V ^b   Madsen, Henrik ^a   Hansen, Torben ^c   Pedersen, Oluf ^c   Ingwersen, Steen H ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b NOVO NORDISK A S   (Denmark)

^c STENO DIABETES CENTER   (Denmark)

Author keywords

Acute insulin response (AIR); Autocorrelation function (ACF); Intravenous glucose tolerance test (IVGTT); Oral glucose tolerance test (OGTT); Oral minimal model (OMM); Ornstein Uhlenbeck (OU); Pharmacokinetic (PK); Stochastic differential equations (SDEs)

Indexed keywords

C PEPTIDE; INSULIN; TOLBUTAMIDE;

ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; CORRELATION FUNCTION; GLUCOSE BLOOD LEVEL; HUMAN; INSULIN BLOOD LEVEL; INSULIN RELEASE; INTRAVENOUS GLUCOSE TOLERANCE TEST; MATHEMATICAL MODEL; ORAL GLUCOSE TOLERANCE TEST; PANCREAS ISLET BETA CELL; POPULATION MODEL; PREDICTION; PRIORITY JOURNAL; PROTEIN BLOOD LEVEL; STOCHASTIC MODEL;

EID: 77949268305     PISSN: 1567567X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10928-009-9145-5     Document Type: Article

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