respiratory: Respiratory Illness Data

In HSAUR3: A Handbook of Statistical Analyses Using R (3rd Edition)

Respiratory Illness Data

Description

The respiratory status of patients recruited for a randomised clinical multicenter trial.

Usage

data("respiratory")

Format

A data frame with 555 observations on the following 7 variables.

centre

the study center, a factor with levels 1 and 2.

treatment

the treatment arm, a factor with levels placebo and treatment.

gender

a factor with levels female and male.

age

the age of the patient.

status

the respiratory status (response variable), a factor with levels poor and good.

month

the month, each patient was examined at months 0, 1, 2, 3 and 4.

subject

the patient ID, a factor with levels 1 to 111.

Details

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.

Source

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.

Examples

  data("respiratory", package = "HSAUR3")
  mosaicplot(xtabs( ~ treatment + month + status, data = respiratory))

HSAUR3 documentation built on Sept. 11, 2024, 8:37 p.m.