ui {orth}R Documentation

Urinary Incontinence Study

Description

Data from urinary incontinence study analyzed by Preisser and Qaqish (1999).

Usage

data(ui)

Format

A data frame with 137 observations on the following 12 variables.

pract_id
cluster id: used for identifying the practice
doct_id
doctor's id: used for identifying the doctors in the practice
pat_id
patient's id: used for identifying the patients in the practice
bothered
response: whether patient's condition is bothersome
female
indicator for female
ageyrs
patient's age
age
standardized age: (age - 76)/10
weekacc
patient report of number of leaking accidents they experienced in an average week
dayacc
patient report of number of leaking accidents they experienced in an average day
severe
severity of loss of urine: 1 if there is only moisture, 2 if the patient wet the underwear, 3 if the urine trickled down the thigh, and 4 if the patient wet the floor
toilet
number of times patient frequents the toilet to urinate (in a day)
mdage
age of the doctors in the practice

References

Hammil, B. G., Preisser, J. S., A SAS/IML software program for GEE and regression diagnostics, Computational Statistics and Data Analysis, 51: 1197 - 1212, 2006.

Preisser, J. S., Qaqish, B. F., Robust regression for clustered data with application to binary responses, Biometrics, 55: 574-579, 1999.


[Package orth version 1.5 Index]