knee: Clinical pain study on knee data

In glmmLasso: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation

Clinical pain study on knee data

Description

The knee data set illustrates the effect of a medical spray on the pressure pain in the knee due to sports injuries.

Usage

data(knee)

Format

A data frame with 381 patients, each with three replicates, and the following 7 variables:

pain

the magnitude of pressure pain in the knee given in 5 categories (1: lowest pain; 5: strongest pain).

time

the number of replication

id

number of patient

th

the therapy (1: spray; 0: placebo)

age

age of the patient in years

sex

sex of the patient (1: male; 0: female)

pain.start

the magnitude of pressure pain in the knee at the beginning of the study

References

Tutz, G. (2000). Die Analyse kategorialer Daten - eine anwendungsorientierte Einfuehrung in Logit-Modellierung und kategoriale Regression. Muenchen: Oldenbourg Verlag.

Tutz, G. and A. Groll (2012). Likelihood-based boosting in binary and ordinal random effects models. Journal of Computational and Graphical Statistics, 22(2): 356-378

See Also

OrdinalBoost, glmmLasso.

glmmLasso documentation built on Aug. 23, 2023, 5:06 p.m.