meta.DSL {rmeta}R Documentation

Random effects (DerSimonian-Laird) meta-analysis

Description

Computes the individual odds ratios, the summary odds ratio, the random effects variance, and Woolf's test for heterogeneity. The print method gives the summary and test for heterogeneity; the summary method also gives all the individual odds ratios and confidence intervals. Studies with zero or infinite odds ratio are omitted, as their variance cannot be calculated sensibly.

The plot method draws a standard meta-analysis plot. The confidence interval for each study is given by a horizontal line, and the point estimate is given by a square whose height is inversely proportional to the standard error of the estimate. The summary odds ratio, if requested, is drawn as a diamond with horizontal limits at the confidence limits and width inversely proportional to its standard error.

Usage

meta.DSL(ntrt, nctrl, ptrt, pctrl, names=NULL, data=NULL, subset=NULL)
summary.meta.DSL(object)
plot.meta.DSL(object,summary=T,summlabel="Summary",...)

Arguments

ntrt Number of subjects in treated/exposed group
nctrl Number of subjects in control group
ptrt Number of events in treated/exposed group
pctrl Number of events in control group
names names or labels for studies
data data frame to interpret variables
subset subset of studies to include
object a meta.DSL object
summary Plot the summary odds ratio?
summlabel Label for the summary odds ratio
... other graphical arguments

Value

An object of class meta.DSL with print, plot and summary methods and components:
logOR log odds ratios for individual studies
selogOR standard errors for log odds ratios
logMH log of Mantel-Haenszel summary odds ratio
selogMH standard of summary log odds ratio
MHtest Mantel-Haenszel chisquare and p-value testing the hypothesis that the summary odds ratio is 1
het Woolf's chisquare for heterogeneity, its degrees of freedom and p-value
call A copy of the function call
names A copy of the vector of names
omitted logical vector: was the study omitted because of 0/Inf odds ratio
tau2 Estimated random effects variance

Author(s)

Thomas Lumley

References

See Also

plot,par,meta.MH

Examples

data(catheter)
b<-meta.DSL(n.trt,n.ctrl,col.trt,col.ctrl,data=catheter,names=Name,subset=c(13,6,5,3,7,12,4,11,1,8,10,2))
b
summary(b)
plot(b)
e<-meta.DSL(n.trt,n.ctrl,inf.trt,inf.ctrl,data=catheter,names=Name,subset=c(13,6,3,12,4,11,1,14,8,10,2))
e
summary(e)
plot(e)


[Package Contents]