| edema {nparLD} | R Documentation |
Postoperative edema
Description
Measurements of skin temperatures (in degree Celcius/10) of both operated and non-operated hands from a group of patients who had a surgery on a hand.
Usage
data(edema)Format
Longitudinal data of 58 patients from both a treatment and a control group with skin temperatues taken on 4 occasions on each hand, which result in 8 occasions per patient.
Details
Surgical procedures on the hand may lead to a postoperative edema and a reddening of the skin. This is related to an increase in the skin temperature. A randomized clinical study was conducted to investigate whether treatment with a substance (V) effects a faster reduction of the edema and reddening than a placebo (P). Each experimental group consists of 29 patients. Temperature measurements were taken on the same area of both the operated and non-operated hand on the day previous to the operation (day -1) as well as on the first, third and fifth day (days 1, 3, 5) subsequent to the surgery.
References
Brunner, E., Domhof, S., and Langer, F. (2002). Nonparametric Analysis of Longitudinal Data in Factorial Experiments,
Wiley, New York.
Brunner, E. and Langer, F. (1999). Nichtparametrische Analyse longitudinaler Daten,
R. Oldenbourg Verlag, Munchen Wien.
Noguchi, K., Gel, Y.R., Brunner, E., and Konietschke, F. (2012). nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments. Journal of Statistical Software, 50(12), 1-23.
Examples
## Analysis using F1-LD-F2 design ##
data(edema)
attach(edema)
ex.f1f2<-f1.ld.f2(y=resp, time1=time1, time2=time2, group=group, subject=subject,
time1.name="Hand", time2.name="Day", group.name="Treatment", description=FALSE)
# F1 LD F2 Model
# -----------------------
# Check that the order of the time1, time2, and group levels are correct.
# Time1 level: Healthy Operated
# Time2 level: -1 1 3 5
# Group level: Drug Placebo
# If the order is not correct, specify the correct order in time1.order,
# time2.order, or group.order.
## Wald-type statistic
ex.f1f2$Wald.test
# Statistic df p-value
#Treatment 1.0725762 1 3.003643e-01
#Hand 25.8758257 1 3.641005e-07
#Day 36.8857947 3 4.864630e-08
#Treatment:Hand 0.3304448 1 5.653973e-01
#Day:Hand 47.3460508 3 2.933702e-10
#Treatment:Day 5.3048189 3 1.507900e-01
#Treatment:Hand:Day 1.6581652 3 6.462743e-01
## ANOVA-type statistic
ex.f1f2$ANOVA.test
# Statistic df p-value
#Treatment 1.0725762 1.000000 3.003643e-01
#Hand 25.8758257 1.000000 3.641005e-07
#Day 11.0630080 2.699667 9.661602e-07
#Treatment:Hand 0.3304448 1.000000 5.653973e-01
#Day:Hand 15.1854889 2.630202 6.184646e-09
#Treatment:Day 1.3342605 2.699667 2.625538e-01
#Treatment:Hand:Day 0.7170325 2.630202 5.242367e-01