rmeta (version 3.0)

cummeta: Cumulative meta-analysis of binary data

Description

A cumulative meta-analysis plot shows how evidence has accumulated over time. The ith 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 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 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

# NOT RUN {
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)
# }