Framinghamdata: The Framingham heart study data set

In refitME: Measurement Error Modelling using MCEM

The Framingham heart study data set

Description

Data set consisting of records of male patients with coronary heart disease collected from the Framingham heart study. The Framinghamdata data consists of binary responses and four predictor variables collected on 'n = 1615' patients.

Usage

Framinghamdata

Format

A data set that contains: 5 columns with 1,615 observations. The columns are defined as follows:

Y

Response indicator (binary variable) of first evidence of CHD status of patient.

z1

Serum cholesterol level of patient.

z2

Age of patient.

z3

Smoking indicator - whether the patient smokes.

w1

Systolic blood pressure (SBP) of patient - this is the error contaminated variable, calculated from mean scores. The measurement error is 0.00630, see pp. 112 of Carroll et al. (2006).

Source

See Carroll et al. (2006) for full details on the data and study. Also, see https://github.com/JakubStats/refitME for an RMarkdown vignette of an example that uses the data.

References

Carroll, R. J., Ruppert, D., Stefanski, L. A., and Crainiceanu, C. M. (2006). Measurement Error in Nonlinear Models: A Modern Perspective. 2nd Ed. London: Chapman & Hall/CRC.

Examples

# Load the data.

data(Framinghamdata)

refitME documentation built on April 13, 2025, 9:08 a.m.