R Dataset / Package HSAUR / respiratory
Respiratory Illness Data
The respiratory status of patients recruited for a randomised clinical multicenter trial.
A data frame with 555 observations on the following 7 variables.
the study center, a factor with levels
the treatment arm, a factor with levels
a factor with levels
the age of the patient.
the respiratory status (response variable), a factor with levels
the month, each patient was examined at months
the patient ID, a factor with levels
In each of two centres, eligible patients were randomly assigned
to active treatment or placebo. During the treatment, the respiratory
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))
Dataset imported from https://www.r-project.org.
From Around the Site...
|Title||Authored on||Content type|
|R Dataset / Package COUNT / lbwgrp||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package Stat2Data / FruitFlies||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package robustbase / coleman||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package mosaicData / Countries||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package Stat2Data / HawkTail2||March 9, 2018 - 1:06 PM||Dataset|