CardioRiskFactors: Cardiovascular risk factors
In Rfit: Rank-Based Estimation for Linear Models

CardioRiskFactors

R Documentation

Cardiovascular risk factors

Description

Data from a study to investigate assocation between uric acid and various cardiovascular risk factors in developing countries (Heritier et. al. 2009). There are 474 men and 524 women aged 25-64.

Usage

data(CardioRiskFactors)

Format

A data frame with 998 observations on the following 14 variables.

age: Age of subject
bmi: Body Mass Index
waisthip: waist/hip ratio(?)
smok: indicator for regular smoker
choles: total cholesterol
trig: triglycerides level in body fat
hdl: high-density lipoprotien(?)
ldl: low-density lipoprotein
sys: systolic blood pressure
dia: diastolic blood pressure(?)
Uric: serum uric
sex: indicator for male
alco: alcohol intake (mL/day)
apoa: apoprotein A

Details

Data set and description taken from Heritier et. al. (2009) (c.f. Conen et. al. 2004).

Source

Heritier, S., Cantoni, E., Copt, S., and Victoria-Feser, M. (2009), Robust Methods in Biostatistics, New York: John Wiley and Sons.

Conen, D., Wietlisbach, V., Bovet, P., Shamlaye, C., Riesen, W., Paccaud, F., and Burnier, M. (2004), Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health.

Examples

data(CardioRiskFactors)
fitF<-rfit(Uric~bmi+sys+choles+ldl+sex+smok+alco+apoa+trig+age,data=CardioRiskFactors)
fitR<-rfit(Uric~bmi+sys+choles+ldl+sex,data=CardioRiskFactors)
drop.test(fitF,fitR)
summary(fitR)

Rfit documentation built on May 29, 2024, 11:38 a.m.