| respiratory | R Documentation |
The respiratory status of patients recruited for a randomised clinical multicenter trial.
data("respiratory")
A data frame with 555 observations on the following 7 variables.
centrethe study center, a factor with levels 1 and
2.
treatmentthe treatment arm, a factor with levels placebo
and treatment.
sexa factor with levels female and male.
agethe age of the patient.
statusthe respiratory status (response variable),
a factor with levels poor and good.
monththe month, each patient was examined at months
0, 1, 2, 3 and 4.
subjectthe patient ID, a factor with levels 1 to
111.
In each of two centres, eligible patients were randomly assigned
to active treatment or placebo. During the treatment, the respiratory
status (categorised poor or good) was determined at each
of four, monthly visits. The trial recruited 111 participants
(54 in the active group, 57 in the placebo group) and there were
no missing data for either the responses or the covariates. The
question of interest is to assess whether the treatment is effective
and to estimate its effect.
Note that the data are in long form, i.e, repeated measurments are stored as additional rows in the data frame.
C. S. Davis (1991), Semi-parametric and non-parametric methods for the analysis of repeated measurements with applications to clinical trials. Statistics in Medicine, 10, 1959–1980.
data("respiratory", package = "HSAUR")
mosaicplot(xtabs( ~ treatment + month + status, data = respiratory))