R: Cumulative meta-analysis of binary data

cummeta {rmeta} | R Documentation

## 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)

[Package rmeta version 2.16 Index]