dat.huber2000: Individual Participant Data (IPD) from Five Studies on...

In metadat: Meta-Analysis Datasets

Individual Participant Data (IPD) from Five Studies on Uro-Vaxom in Urinary Tract Infections

Description

Individual participant data (IPD) of 601 patients from 5 studies comparing Uro-Vaxom versus placebo in recurrent urinary tract infections (UTI) based on the numbers of recurrences experienced.

Usage

dat.huber2000

Format

The data frame contains the following columns (one row per patient):

study	factor	study identifier
treatment	factor	treatment (Uro-Vaxom or Placebo)
recurrences	numeric	number of recurrences (relapses)

Details

Huber et al. (2000) jointly analyzed data from five randomized, placebo-controlled studies investigating the use of OM-89 (Uro-Vaxom) in recurrent urinary tract infections (UTI). Treatment efficacy was evaluated based on the numbers of recurrences experienced by study participants.

The eventual analysis was carried out based on nonparametric Wilcoxon-Mann-Whitney (WMW) tests applied for each study individually and then synthesizing the five resulting test statistic values. The WMW test statistics may be expressed in terms of common language effect sizes (CLES), that is, the estimated probability that a patient in the treatment group has a better outcome than a control patient.

Concepts

medicine, proportions, individual participant data)

Author(s)

Christian Röver, [e-mail]

Source

Huber, M., Krauter, K., Winkelmann, G., Bauer, H. W., Rahlfs, V. W., Lauener, P. A., Bleßmann, G. S. S., & Bessler, W. G. (2000). Immunostimulation by bacterial components: II. Efficacy studies and meta-analysis of the bacterial extract OM-89. International Journal of Immunopharmacology, 22(12), 1103–1111. ⁠https://doi.org/10.1016/s0192-0561(00)00070-9⁠

See Also

dat.bauer2002

Examples

# show data
head(dat.huber2000)
str(dat.huber2000)
summary(dat.huber2000)
table(dat.huber2000[,1:2])
table(dat.huber2000[,c(2,3,1)])

# compute WMW statistics for all 5 studies
wmw <- tapply(dat.huber2000, dat.huber2000$study,
              function(x){wilcox.test(x$recurrences[x$treatment=="Placebo"],
                                      x$recurrences[x$treatment=="Uro-Vaxom"])$statistic},
              simplify=TRUE)
wmw

# determine treatment group sizes
patients <- table(dat.huber2000[,1:2])
patients

# convert WMW statistics into estimated probability of superiority
# ("common language effect size")
prob <- wmw / (patients[,1]*patients[,2])
round(prob, 3)

metadat documentation built on April 29, 2026, 5:10 p.m.