Original SMART study data (with missing values) from Steyerberg et, al. 2008.
A numeric matrix with 3873 samples, and 29 variables (27 variables + time variable + event variable):
SEX - gender
AGE - age in years
Classical risk factors
SMOKING - smoking (never, former, current)
PACKYRS - in years
ALCOHOL - alcohol use (never, former, current)
BMI - Body mass index, in kg/m^2
SYSTH - Systolic, by hand, in mm Hg
SYSTBP - Systolic, automatic, in mm Hg
DIASTH - Diastolic, by hand, in mm Hg
DIASTBP - Diastolic, automatic, in mm Hg
CHOL - Total cholesterol, in mmol/L
HDL - High-density lipoprotein cholesterol, in mmol/L
LDL - Low-density lipoprotein cholesterol, in mmol/L
TRIG - Triglycerides, in mmol/L
Previous symptomatic atherosclerosis
CEREBRAL - Cerebral
CARDIAC - Coronary
PERIPH - Peripheral
AAA - Abdominal aortic aneurysm
Markers of atherosclerosis
HOMOC - Homocysteine, in umol/L
GLUT - Glutamine, in umol/L
CREAT - Creatinine clearance, in mL/min
ALBUMIN - Albumin (no, micro, macro)
IMT - Intima media thickness, in mm
STENOSIS - Carotid artery stenosis > 50%
Steyerberg, E. W. (2008). Clinical prediction models: a practical approach to development, validation, and updating. Springer Science & Business Media.
 3873 29
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.