A population-based Bayesian approach to the minimal model of glucose and insulin homeostasis

Statistics in Medicine

Volumn 24, Issue 15, 2005, Pages 2381-2400

  Andersen, Kim E ^a   Højbjerre, Malene ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

Bayesian graphical model; Coupled differential equatios; Glucose and insulin homeostasis; MCMC methods; Population hierarchical minimal model; Stochastic differential equations

Indexed keywords

GLUCOSE; INSULIN;

ADULT; ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; BLOOD SAMPLING; GLUCOSE BLOOD LEVEL; GLUCOSE HOMEOSTASIS; HUMAN; INSULIN BLOOD LEVEL; INSULIN METABOLISM; INTRAVENOUS GLUCOSE TOLERANCE TEST; METABOLIC PARAMETERS; MONTE CARLO METHOD; NORMAL HUMAN; SIMULATION; STATISTICAL MODEL;

ADULT; BAYES THEOREM; BLOOD GLUCOSE; DIABETES MELLITUS; GLUCOSE TOLERANCE TEST; HOMEOSTASIS; HUMANS; INSULIN; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD;

EID: 23244434826     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2126     Document Type: Article

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