rmeta: meta.cum – R documentation

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meta.cum

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 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.

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)

rmeta

Meta-Analysis

v3.0

GPL-2

Authors

Thomas Lumley

Initial release