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meta (version 4.4-1)

amlodipine: Amlodipine for Work Capacity

Description

Meta-analysis on the effect of amlodipine on work capacity.

This meta-analysis is used as a data example in Hartung and Knapp (2001).

Usage

data(amlodipine)

Arguments

Format

A data frame with the following columns:
study
Study label
n.amlo
Number of observations in amlodipine group
mean.amlo
Estimated mean in amlodipine group
var.amlo
Variance in amlodipine group
n.plac
Number of observations in placebo group
mean.plac
Estimated mean in placebo group
var.plac
Variance in placebo group

Source

Hartung J & Knapp G (2001), On tests of the overall treatment effect in meta-analysis with normally distributed responses. Statistics in Medicine, 20, 1771--82. doi: 10.1002/sim.791 .

See Also

metacont

Examples

Run this code
data(amlodipine)
#
m <- metacont(n.amlo, mean.amlo, sqrt(var.amlo),
              n.plac, mean.plac, sqrt(var.plac),
              data=amlodipine, studlab=study)

m.hakn <- metacont(n.amlo, mean.amlo, sqrt(var.amlo),
                   n.plac, mean.plac, sqrt(var.plac),
                   data=amlodipine, studlab=study,
                   hakn=TRUE)

# Results for mean difference - see Table III in Hartung and Knapp (2001) 
#
res.md <- rbind(data.frame(summary(m)$fixed)[c("TE", "lower", "upper")],
                data.frame(summary(m)$random)[c("TE", "lower", "upper")],
                data.frame(summary(m.hakn)$random)[c("TE", "lower", "upper")])
#
res.md <- round(res.md, 5)
#
row.names(res.md) <- c("FE", "RE", "RE (HaKn)")
names(res.md) <- c("Absolute difference", "CI lower", "CI upper")
#
res.md

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