A cross classified table with observational data from a Danish heart clinic. The response variable is CAD (coronary artery disease, some times called heart attack).
data(cad1)
A data frame with 236 observations on the following 14 variables.
Sex
Sex; a factor with levels Female
Male
AngPec
Angina pectoris (chest pain attacks); a
factor with levels Atypical
None
Typical
AMI
Acute myocardic infarct; a factor with
levels Definite
NotCertain
QWave
A reading from an electrocardiogram; a
factor with levels No
Yes
; Yes means pathological and is a sign of previous myocardial infarction.
QWavecode
a factor with levels Nonusable
Usable
. An assesment of whether QWave is reliable.
STcode
a factor with levels
Nonusable
Usable
. An assesment of whether STchange is reliable.
STchange
A reading from an electrocardiogram; a factor
with levels No
Yes
. An STchange indicates a blockage of the coronary artery.
SuffHeartF
Sufficient heart frequency; a factor with levels No
, Yes
Hypertrophi
a factor with levels No
, Yes
. Hypertrophy refers to an
increased size of the heart muscle due to exercise.
Hyperchol
a factor with levels No
Yes
. Hypercholesterolemia, also called high cholesterol,
is the presence of high levels of cholesterol in the blood.
Smoker
Is the patient a smoker; a factor with levels No
, Yes
.
Inherit
Hereditary predispositions for CAD; a factor with levels No
, Yes
.
Heartfail
Previous heart failures; a factor with levels No
Yes
CAD
Coronary Artery Disease; a factor with levels
No
Yes
Notice that data are collected at a heart clinic, so data do not represent the population, but are conditional on patients having ended up at the clinic.
cad1: Complete dataset, 236 cases.
cad2: Incomplete dataset, 67 cases. Information on (some of) the variables 'Hyperchol', 'Smoker' and 'Inherit' is missing.
Hansen, J. F. (1980). The clinical diagnosis of ischaemic heart disease due to coronary artery disease. Danish Medical Bulletin
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
data(cad1)
## maybe str(cad1) ; plot(cad1) ...
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