# Coronary artery disease data

### Description

A cross classified table with observational data from a Danish heart clinic. The response variable is CAD.

### Usage

1 |

### Format

A data frame with 236 observations on the following 14 variables.

`Sex`

a factor with levels

`Female`

`Male`

`AngPec`

a factor with levels

`Atypical`

`None`

`Typical`

`AMI`

a factor with levels

`Definite`

`NotCertain`

`QWave`

a factor with levels

`No`

`Yes`

`QWavecode`

a factor with levels

`Nonusable`

`Usable`

`STcode`

a factor with levels

`Nonusable`

`Usable`

`STchange`

a factor with levels

`No`

`Yes`

`SuffHeartF`

a factor with levels

`No`

`Yes`

`Hypertrophi`

a factor with levels

`No`

`Yes`

`Hyperchol`

a factor with levels

`No`

`Yes`

`Smoker`

a factor with levels

`No`

`Yes`

`Inherit`

a factor with levels

`No`

`Yes`

`Heartfail`

a factor with levels

`No`

`Yes`

`CAD`

a factor with levels

`No`

`Yes`

### Details

cad1: Complete dataset, 236 cases. cad2: Incomplete dataset, 67 cases. Information on (some of) the variables Hyperchol, Smoker, Inherit is missing.

cad1: Complete dataset, 236 cases. cad2: Incomplete dataset, 67 cases. Information on (some of) the variables Hyperchol, Smoker, Inherit is missing.

### References

Højsgaard, Søren and Thiesson, Bo (1995). BIFROST - Block recursive models Induced From Relevant knowledge, Observations and Statistical Techniques. Computational Statistics and Data Analysis, vol. 19, p. 155-175

Hansen, J. F. (1980). The clinical diagnoisis of ichaeme heart disease du to coronary artery disease. Danish Medical Bulletin

### Examples

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