resp {winr} | R Documentation |
Respiratory dataset
Description
The respiratory dataset originates from a randomized clinical trial that evaluated a test treatment against a control in managing a chronic respiratory condition (Koch et al. 1989; Stokes et al. 2012). The study involved 111 patients—54 receiving the active treatment and 57 on a placebo—distributed across two centers. Assessments were conducted at baseline and during four subsequent follow-up visits. At each visit, patients' respiratory status was evaluated using an ordinal scale where 0 signifies ‘terrible’, 1 is ‘poor’, 2 stands for ‘fair’, 3 represents ‘good’, and 4 denotes ‘excellent’. The participating centers serve as stratification factors, and the baseline variables include age, sex, and initial respiratory status.
Usage
resp
Format
A data frame with 10 variables.
ID
: Participant ID
Center
: Treatment center
Sex
: Participant sex at birth
Age
: Participant age at baseline
Treatment
: T=treatment arm, C=control arm
Baseline
: Ordinal global rating at Baseline: 0 for terrible, 1 for poor, 2 for fair,
3 for good, and 4 for excellent
Visit1
: Ordinal global rating at Visit 1: 0 for terrible, 1 for poor, 2 for fair,
3 for good, and 4 for excellent
Visit2
: Ordinal global rating at Visit 2: 0 for terrible, 1 for poor, 2 for fair,
3 for good, and 4 for excellent
Visit3
: Ordinal global rating at Visit 3: 0 for terrible, 1 for poor, 2 for fair,
3 for good, and 4 for excellent
Visit4
: Ordinal global rating at Visit 4: 0 for terrible, 1 for poor, 2 for fair,
3 for good, and 4 for excellent
References
Koch GG, Carr GJ, Amara IA, Stokes ME, Uryniak TJ (1989).
“Categorical Data Analysis.”
In Berry DA (ed.), Statistical Methodology in the Pharmaceutical Sciences, 389-473.
CRC Press.
Stokes ME, Davis CS, Koch GG (2012).
Categorical data analysis using SAS, third edition.
SAS Institute.