\name{meta.MH}
\title{Fixed effects (Mantel-Haenszel) meta-analysis}
\usage{
meta.MH(ntrt, nctrl, ptrt, pctrl, conf.level=0.95,
        names=NULL, data=NULL, subset=NULL, na.action = na.fail,statistic="OR")
summary.meta.MH(object, conf.level=NULL, \dots)
plot.meta.MH(x, summary=TRUE, summlabel="Summary",
             conf.level=NULL, colors=meta.colors(),xlab=NULL, \dots)
}
\alias{meta.MH}
\alias{summary.meta.MH}
\alias{print.meta.MH}
\alias{print.summary.meta.MH}
\alias{plot.meta.MH}
%- Also NEED an `\alias' for EACH other function documented here.
\arguments{
  \item{ntrt}{Number of subjects in treated/exposed group}
  \item{nctrl}{Number of subjects in control group }
  \item{ptrt}{Number of events in treated/exposed group}
  \item{pctrl}{Number of events in control group}
  \item{names}{names or labels for studies}
  \item{data}{data frame to interpret variables}
  \item{subset}{subset of studies to include}
  \item{na.action}{a function which indicates what should happen when
    the data contain \code{NA}s.  Defaults to \code{\link{na.fail}}.}
  \item{statistic}{"OR" for odds ratio, "RR" for relative risk}
  \item{x,object}{a \code{meta.MH} object}
  \item{summary}{Plot the summary odds ratio?}
  \item{summlabel}{Label for the summary odds ratio}
  \item{conf.level}{Coverage for confidence intervals}
  \item{colors}{see \code{\link{meta.colors}}}
 \item{xlab}{x-axis label, default is based on \code{statistic}}
  \item{\dots}{further arguments to be passed to or from methods.}
}

\description{
  Computes the individual odds ratio or relative risk, the
  Mantel-Haenszel summary, and Woolf's test for heterogeneity. The
  \code{print} method gives the summary and test for heterogeneity; the
  \code{summary} method also gives all the individual odds ratios and
  confidence intervals.

The \code{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.
}
\value{
  An object of class \code{meta.MH} with \code{print}, \code{plot}, \code{funnelplot} and
  \code{summary} methods.
}
\references{}
\author{Thomas Lumley}
\note{ There are at least two other ways to do a fixed effects
  meta-analysis of binary data. Peto's method is a computationally
  simpler approximation to the Mantel-Haenszel approach. It is also
  possible to weight the individual odds ratios according to their
  estimated variances.  The Mantel-Haenszel method is superior if there
  are trials with small numbers of events (less than 5 or so in either group)}

\seealso{\code{\link{plot}},\code{\link{par}},\code{\link{meta.DSL}},\code{\link{funnelplot}} }

\examples{
data(catheter)
a <- meta.MH(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))
a
summary(a)
plot(a)
d <- meta.MH(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))
d
summary(d)
## plot with par("fg")
plot(d, colors=meta.colors(NULL))
}
\keyword{htest}
\keyword{hplot}