myocardial {randomLCA}

Myocardial Infarction (MI)

Description

Four tests were performed on hospital patients to determine if a myocardial infarction had occurred.

Usage

myocardial

Format

A data frame with 32 observations on the following 6 variables.

Q.wave

result from ECG test

History

clinical history

LDH

flipped, enzyme related to tissue breakdown

CPK

high, creatine kinase or creatine phosphokinase, related to muscle damage

freq

Number of subjects

Source

Rindskopf and Rindskopf (1986)

References

Galen, R.S. and Gambino, S.R. (1975) Beyond Normality: The Predictive Value and Efficiency of Medical Diagnosis. Wiley:New York.

Rindskopf, D. and Rindskopf, W. (1986) The Value of Latent Class Analysis in Medical Diagnosis. Statistics in Medicine, 5, 21–27.

Examples

# fit 2 class model from Rindskopf and Rindskopf (1986)
myocardial.lca2 <- randomLCA(myocardial[, 1:4], freq = myocardial$freq, cores = 1)