How Inducing Covariation in Simulated HDL-C, Triglyceride, and Total Cholesterol Data Affects Framingham Risk Equation Results

• Published in: Value in health Vol. 11; no. 5; pp. 939 - 945
• Main Authors: Frick, Kevin D., PhD, Sorensen, Sonja V., MPH, Hollenbeak, Christopher, PhD
• Format: Journal Article
• Language: English
• Published: Malden, USA Elsevier Inc 01.09.2008; Blackwell Publishing Inc
• Subjects: Adult; Aged; Aged, 80 and over; Bootstrap methods; Cholesterol; Cholesterol - blood; Cholesterol, HDL - blood; Computer Simulation; correlation; Deviation; Diabetes Mellitus, Type 2 - blood; Female; Humans; Internal Medicine; lipids; Male; Metabolic Syndrome - blood; Middle Aged; Models, Statistical; Models, Theoretical; Monte Carlo Method; Multivariate Analysis; Nonlinear; Nutrition Surveys; Risk Assessment; risk equations; Simulation; simulation modeling; Statistics as Topic; Triglycerides - blood; Women; simulation modeling; lipids; correlation; risk equations

Abstract Objective To assess the effect of inducing covariation among simulated high-density lipoprotein (HDL-C), triglyceride, and total cholesterol values on Framingham risk equation results. Methods National Health and Nutrition Examination Survey (NHANES) data were used to estimate means and sta...