respiratory: Respiratory Data

In mdhglm: Multivariate Double Hierarchical Generalized Linear Models

Description

This example is from a clinical trial comparing two treatments for a respiratory illness (Strokes et al., 1995). In each of two centers, eligible patients were randomly assigned to active treatment or placebo. During treatment, respiratory status was determined at four visits. Potential explanatory variables were centre, sex, and baseline respiratory status (all dichotomous), as well as age(in years) at the time of study entry. There were 111 patients (54 active, 57 placebo).

Usage

data("respiratory")

Format

A data frame with 444 observations on the following 8 variables.

patient

patients identifier for 111 patients

treatment

a factor for treatment with levels active and placebo

sex

a factor for gender with levels female and male

age

age in years

center

center number for two centers

baseline

baseline respiratory status (0 or 1)

past

respiratory status in the previous visit

y

respiratory status (0=poor, 1=good)

References

Strokes, M.E., Davis, C.S., and Koch, G.G. (1995). Categorical Data Analysis using the SAS System. SAS Institute, Cary, NC.

mdhglm documentation built on May 2, 2019, 5:52 a.m.