resp: Respiratory Disorder Data
In sanon: Stratified Analysis with Nonparametric Covariable Adjustment

Description Usage Format Details References

The data are from a randomized clinical trial to compare a test treatment to placebo for a respiratory disorder, and listings of the data appear in Stokes et al. (2000, chap. 15, pp. 495-496) and Koch et al. (1990). The variables are as follows:

1	data(resp)

A data frame with 111 observations and 9 variables.

center: a factor vector for two centers
treatment: a factor with levels A and P for active and placebo treatments, respectively
sex: a factor with levels F and M for female and male, respectively
age: a numeric vector for age
baseline: a numeric vector for patient global ratings of symptom control according to 5 categories (4 = excellent, 3 = good, 2 = fair, 1 = poor, 0 = terrible) at baseline measurement
visit1: a numeric vector for patient global ratings of symptom control at visit 1 with same categories as baseline
visit2: a numeric vector for patient global ratings of symptom control at visit 2 with same categories as baseline
visit3: a numeric vector for patient global ratings of symptom control at visit 3 with same categories as baseline
visit4: a numeric vector for patient global ratings of symptom control at visit 4 with same categories as baseline

Stokes, M. E., Davis, C. S., and Koch, G. G. (2000), Categorical Data Analysis using the SAS System, Cary: SAS Publishing.

Koch, G. G., Carr, G. J., Amara, I. A., Stokes, M. E., and Uryniak, T. J. (1990), "Categorical Data Analysis," in Statistical Methodology in Pharmaceutical Sciences, ed. D. A. Berry, New York: Marcel Dekker, pp. 291-475.

sanon documentation built on July 8, 2020, 6:54 p.m.