Usage
metacr(x, comp.no=1, outcome.no=1,
method, sm,
level=.settings$level, level.comb=.settings$level.comb,
comb.fixed, comb.random,
hakn=FALSE,
method.tau="DL",
tau.common=FALSE,
prediction=.settings$prediction, level.predict=.settings$level.predict,
swap.events, logscale,
backtransf=.settings$backtransf,
title, complab, outclab, warn=FALSE)Arguments
x
An object of class rm5 created by R function
read.rm5.
comp.no
Comparison number.
outcome.no
Outcome number.
method
A character string indicating which method is to be used
for pooling of studies. One of "Inverse", "MH", or
"Peto", can be abbreviated.
sm
A character string indicating which summary measure
("RR", "OR", "RD", "AS", "HR",
"MD", or "SMD") is to be used for pooling of
studies.
level
The level used to calculate confidence intervals for
individual studies.
level.comb
The level used to calculate confidence intervals for
pooled estimates.
comb.fixed
A logical indicating whether a fixed effect
meta-analysis should be conducted.
comb.random
A logical indicating whether a random effects
meta-analysis should be conducted.
hakn
A logical indicating whether the method by Hartung and
Knapp should be used to adjust test statistics and
confidence intervals.
method.tau
A character string indicating which method is used
to estimate the between-study variance $\tau^2$. Either
"DL", "PM", "REML", "ML", "HS",
"SJ", "HE", o
tau.common
A logical indicating whether tau-squared should be
the same across subgroups.
prediction
A logical indicating whether a prediction interval
should be printed.
level.predict
The level used to calculate prediction interval
for a new study.
swap.events
A logical indicating whether events and
non-events should be interchanged.
logscale
A logical indicating whether effect estimates are
entered on log-scale.
backtransf
A logical indicating whether results should be
back transformed in printouts and plots. If backtransf=TRUE
(default), results for sm="OR" are printed as odds ratios
rather than log odds ratios and results for sm
title
Title of meta-analysis / systematic review.
warn
A logical indicating whether warnings should be printed
(e.g., if incr is added to studies with zero cell
frequencies).