Cisapride in Non-Ulcer Dispepsia

Description

Meta-analysis on cisapride in non-ulcer dispepsia.

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

Usage

1

Format

A data frame with the following columns:

study

Study label

event.cisa

Number of events in cisapride group

n.cisa

Number of observations in cisapride group

event.plac

Number of events in placebo group

n.plac

Number of observations in placebo group

Source

Hartung J & Knapp G (2001), A Refined Method for the Meta-analysis of Controlled Clinical Trials with Binary Outcome. Statistics in Medicine, 20, 3875–89.

See Also

metabin

Examples

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data(cisapride)

m.or <- metabin(event.cisa, n.cisa, event.plac, n.plac,
                data=cisapride, sm="OR", method="Inverse",
                studlab=study, addincr=TRUE)

m.rr <- metabin(event.cisa, n.cisa, event.plac, n.plac,
                data=cisapride, sm="RR", method="Inverse",
                studlab=study, addincr=TRUE)

m.or.hakn <- metabin(event.cisa, n.cisa, event.plac, n.plac,
                     data=cisapride, sm="OR", method="Inverse",
                     studlab=study, addincr=TRUE,
                     hakn=TRUE)

m.rr.hakn <- metabin(event.cisa, n.cisa, event.plac, n.plac,
                     data=cisapride, sm="RR", method="Inverse",
                     studlab=study, addincr=TRUE,
                     hakn=TRUE)

# Results for log risk ratio - see Table VII in Hartung and Knapp (2001) 
#
res.rr <- rbind(data.frame(summary(m.rr)$fixed)[c("TE", "lower", "upper")],
                data.frame(summary(m.rr)$random)[c("TE", "lower", "upper")],
                data.frame(summary(m.rr.hakn)$random)[c("TE", "lower", "upper")])
#
row.names(res.rr) <- c("FE", "RE", "RE (HaKn)")
names(res.rr) <- c("Log risk ratio", "CI lower", "CI upper")
#
res.rr


# Results for log odds ratio (Table VII in Hartung and Knapp 2001) 
#
res.or <- rbind(data.frame(summary(m.or)$fixed)[c("TE", "lower", "upper")],
                data.frame(summary(m.or)$random)[c("TE", "lower", "upper")],
                data.frame(summary(m.or.hakn)$random)[c("TE", "lower", "upper")])
#
row.names(res.or) <- c("FE", "RE", "RE (HaKn)")
names(res.or) <- c("Log odds ratio", "CI lower", "CI upper")
#
res.or

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