myocardial {randomLCA}R Documentation

Myocardial Infarction (MI)

Description

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

Usage

data(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

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

[Package randomLCA version 0.6-2 Index]