recovery data contains information on 60 children after a surgery.
A data frame with 240 observations on the following 10 variables
Dosage=15 (yes = 1, no = 0)
Dosage=20 (yes = 1, no = 0)
Dosage=25 (yes = 1, no = 0)
Age of child (in months)
Duration of surgery (in minutes)
First repetition (yes = 1, no = 0)
Second repetition (yes = 1, no = 0)
Third repetition (yes = 1, no = 0)
ID-Variable for each child (1–60)
In a randomized study 60 children undergoing surgery were treated with one of four dosages of an anaesthetic (15, 20, 25, 30). Upon admission to the recovery room and at minutes 5, 15 and 30 following admission, recovery scores were assigned on a categorical scale ranging from 1 (least favourable) to 6 (most favourable). Therefore one has four repetitions of a variable having 6 categories. One wants to model how recovery scores depend on covariables as dosage of the anaesthetic (four levels), duration of surgery (in minutes) and age of the child (in months).
Davis, C.S. (1991) Semi-parametric and Non-parametric Methods for the Analysis of Repeated Measurements with Applications to Clinical Trials. Statistics in Medicine 10, 1959–1980
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