Monte Carlo analysis of a new model-based method for insulin sensitivity testing

Computer Methods and Programs in Biomedicine

Volumn 89, Issue 3, 2008, Pages 215-225

  Lotz, Thomas F ^a   Chase, J Geoffrey ^a   McAuley, Kirsten A ^b   Shaw, Geoffrey M ^c   Wong, Xing Wei ^a   Lin, Jessica ^a   LeCompte, Aaron ^a   Hann, Christopher E ^a   Mann, Jim I ^b  

^a UNIVERSITY OF CANTERBURY   (New Zealand)

^b UNIVERSITY OF OTAGO   (New Zealand)

^c UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

Diabetes screening; Glucose modeling; Insulin modeling; Insulin resistance; Insulin sensitivity

Indexed keywords

COMPUTER SIMULATION; DISEASES; MATHEMATICAL MODELS; MONTE CARLO METHODS; RISK ASSESSMENT; SENSITIVITY ANALYSIS;

DIABETES SCREENING; GLUCOSE MODELING; INSULIN MODELING; INSULIN RESISTANCE; INSULIN SENSITIVITY;

INSULIN;

GLUCOSE;

ARTICLE; INSULIN RESISTANCE; INSULIN SENSITIVITY; MONTE CARLO METHOD; NON INSULIN DEPENDENT DIABETES MELLITUS; REGRESSION ANALYSIS; SIMULATION;

ADULT; AGED; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; INSULIN; INSULIN RESISTANCE; MALE; MASS SCREENING; MIDDLE AGED; MODELS, STATISTICAL; MONTE CARLO METHOD; RISK FACTORS;

EID: 38649122694     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.03.007     Document Type: Article

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