Last data update: 2014.03.03
R: Cumulative meta-analysis of binary data
Cumulative meta-analysis of binary data
Description
A cumulative meta-analysis plot shows how evidence has accumulated over
time. The i
th line in the cumulative meta-analysis plot is the
summary produced by a meta-analysis of the first i
trials.
Usage
cummeta(ntrt, nctrl, ptrt, pctrl, conf.level = 0.95, names = NULL, data=
NULL, subset = NULL, na.action = na.fail, method = c("meta.MH", "meta.DSL"), statistic = "OR")
cummeta.summaries(effects,stderrs, conf.level = 0.95, names = NULL,weights=NULL, data= NULL, subset = NULL, na.action = get(getOption("na.action")), method = c("fixed", "random"), logscale=TRUE)
## S3 method for class 'meta.cum'
plot(x, conf.level = NULL, colors = meta.colors(), xlab = NULL,
summary.line = TRUE, summary.conf = FALSE, main="Cumulative meta-analysis", lwd=1, ...)
## S3 method for class 'meta.cum'
summary(object ,conf.level=NULL,...)
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
effects
Difference between control and treatment group
stderrs
Standard errors of effects
weights
Study weights (see meta.summaries
)
names
names or labels for studies
data
data frame to interpret variables
subset
subset of studies to include
na.action
How to handle missing values
method
Which meta-analysis method to use
statistic
"OR" for odds ratio or "RR" for relative risk.
logscale
The effects
values are the logarithms of actual
effects (for plotting)
x, object
a meta.cum
object
...
other graphical arguments for metaplot
conf.level
Coverage for confidence intervals
colors
see meta.colors
xlab
X-axis label
summary.line
Plot a vertical line at the final summary value?
summary.conf
Plot vertical lines at the final confidence
interval limits?
main,lwd
graphical parameters
Value
Object of class meta.cum
.
See Also
meta.MH
,meta.DSL
Examples
data(cochrane)
steroid<-cummeta(n.trt,n.ctrl,ev.trt,ev.ctrl,names=name,data=cochrane,statistic="RR",method="meta.MH")
plot(steroid)
summary(steroid)
data(catheter)
b <- meta.DSL(n.trt, n.ctrl, col.trt, col.ctrl, data=catheter,
names=Name, subset=c(13,6,5,3,12,4,11,1,8,10,2))
d <- cummeta.summaries(b$logs, b$selogs, names=b$names,
method="random", logscale=TRUE)
plot(d,summary.conf=TRUE)
summary(d)
Results