respiratory {HSAUR} | R Documentation

## 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`.
`sex`
  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 = "HSAUR")
      mosaicplot(xtabs( ~ treatment + month + status, data = respiratory))

[Package HSAUR version 1.2-3 Index]