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Data from the SMART study, a prospective cohort study at the University Medical Centre Utrecht, the Netherlands. The study was designed to (a) establish the prevalence of concomitant arterial diseases and risk factors for cardiovascular disease in a high-risk population; (b) identify predictors of future cardiovascular events in patients with symptomatic cardiovascular disease.
1 | data("SMARTfull")
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A data frame with 3873 observations on the following 16 variables.
TEVENTa numeric vector. Time to cardiovascular event (days)
EVENTa logical vector. Cardiovascular event (clinical, 0/1)
AGE.TRANSa numeric vector. (Age(years)-50)^2 if over 50, otherwise 0
SEXa numeric vector. 1 Male 2 Female
SMOKINGa factor with levels 1 Never 2 Former 3 Current
ALCOHOLa factor with levels 1 Never 2 Former 3 Current
BMIa numeric vector (imputed). Body mass index (kg/m^2)
SYSTHa numeric vector (imputed). Systomlic blood pressure (mm/Hg)
HDLa numeric vector (imputed). High-density lipoprotein cholesterol (mmol/L)
DIABETESa numeric vector (imputed). Ever diabetes (0/1)
HISTCAR2a numeric vector. History of cardiac disease score.
HOMOCa numeric vector (imputed). Homocysteine (μmol/L
logCREATa numeric vector (imputed). Creatinine clearance (log mL/min)
ALBUMINa factor with levels 1 No 2 Micro 3 Macro. Albumin in urine
STENOSISa numeric vector (imputed). Carotic stenosis ≥ 50\% by duplex
IMTa numeric vector (imputed). Intima media thickness (mm)
SMARTfull is a processed extract from the SMART study. The code for processing is available: http://www.clinicalpredictionmodels.org/doku.php?id=rcode_and_data:chapter23. This dataset is named SMARTc in that code, and is used to fit the "full" model, which is discussed in Chapter 23 of Steyerberg's Clinical Prediction Models.
http://www.clinicalpredictionmodels.org
Steyerberg, E.W. (2009) Clinical Prediction Models. New York: Springer-Verlag
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