Bayesian hierarchical approach to estimate insulin sensitivity by minimal model

Clinical Science

Volumn 105, Issue 5, 2003, Pages 551-560

  Agbaje, Olorunsola F ^a   Luzio, Stephen D ^b   Albarrak, Ahmed I S ^a   Lunn, David J ^c   Owens, David R ^b   Hovorka, Roman ^a  

^a CITY UNIVERSITY   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c IMPERIAL COLLEGE SCHOOL OF MEDICINE   (United Kingdom)

Author keywords

Bayesian analysis; Insulin sensitivity; Minimal model; Type II diabetes

Indexed keywords

GLUCOSE;

ACCURACY; ADULT; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; BODY MASS; BODY WEIGHT; CONFIDENCE INTERVAL; CONTROLLED STUDY; CORRELATION ANALYSIS; DIET RESTRICTION; FEMALE; HUMAN; INFORMATION PROCESSING; INSULIN SENSITIVITY; INTERMETHOD COMPARISON; INTRAVENOUS GLUCOSE TOLERANCE TEST; MALE; MOLECULAR DYNAMICS; NON INSULIN DEPENDENT DIABETES MELLITUS; NONLINEAR REGRESSION ANALYSIS; NORMAL DISTRIBUTION; PRIORITY JOURNAL; STATISTICAL MODEL; WORLD HEALTH ORGANIZATION;

ADULT; AGED; BAYES THEOREM; BLOOD GLUCOSE; DATA INTERPRETATION, STATISTICAL; DIABETES MELLITUS, TYPE 2; FEMALE; GLUCOSE TOLERANCE TEST; HUMANS; INSULIN; INSULIN RESISTANCE; LINEAR MODELS; MALE; MIDDLE AGED;

EID: 0242460504     PISSN: 01435221     EISSN: None     Source Type: Journal    
DOI: 10.1042/CS20030117     Document Type: Article

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