Update an existing metaanalysis object.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31  ## S3 method for class 'meta'
update(object,
data=object$data, subset=object$subset,
studlab=object$data$.studlab,
method=object$method, sm=object$sm,
incr=object$incr, allincr=object$allincr,
addincr=object$addincr, allstudies=object$allstudies,
MH.exact=object$MH.exact, RR.cochrane=object$RR.cochrane,
model.glmm = object$model.glmm,
level=object$level, level.comb=object$level.comb,
comb.fixed=object$comb.fixed, comb.random=object$comb.random,
hakn=object$hakn, method.tau=object$method.tau,
tau.preset=object$tau.preset,
TE.tau=object$TE.tau, tau.common=object$tau.common,
prediction=object$prediction, level.predict=object$level.predict,
method.bias=object$method.bias, backtransf = object$backtransf,
pscale = object$pscale,
irscale = object$irscale, irunit = object$irunit,
title=object$title, complab=object$complab, outclab=object$outclab,
label.e=object$label.e, label.c=object$label.c,
label.left=object$label.left, label.right=object$label.right,
n.e=object$n.e, n.c=object$n.c,
pooledvar=object$pooledvar, method.smd=object$method.smd,
sd.glass=object$sd.glass, exact.smd=object$exact.smd,
method.ci=object$method.ci,
byvar=object$byvar, bylab=object$bylab, print.byvar=object$print.byvar,
byseparator = object$byseparator,
print.CMH=object$print.CMH, keepdata=TRUE,
left=object$left, ma.fixed=object$ma.fixed,
type=object$type, n.iter.max=object$n.iter.max,
warn=object$warn, ...)

object 
An object of class 
data 
Dataset. 
subset 
Subset. 
studlab 
Study label. 
method 
A character string indicating which method is to be
used for pooling of studies; see 
sm 
A character string indicating which summary measure is used for pooling. 
incr 
Could be either a numerical value which is added to each cell
frequency for studies with a zero cell count or the character string

allincr 
A logical indicating if 
addincr 
A logical indicating if 
allstudies 
A logical indicating if studies with zero or all
events in both groups are to be included in the metaanalysis
(applies only if 
MH.exact 
A logical indicating if 
RR.cochrane 
A logical indicating if 2* 
model.glmm 
A character string indicating which GLMM model should be used. 
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 metaanalysis should be conducted. 
comb.random 
A logical indicating whether a random effects metaanalysis 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 betweenstudy variance τ^2. Either

tau.preset 
Prespecified value for the squareroot of the betweenstudy variance τ^2. 
TE.tau 
Overall treatment effect used to estimate the betweenstudy variance τ^2. 
tau.common 
A logical indicating whether tausquared 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. 
method.bias 
A character string indicating which test for
funnel plot asymmetry is to be used. Either 
backtransf 
A logical indicating whether results should be
back transformed in printouts and plots. If

pscale 
A numeric giving scaling factor for printing of single
event probabilities, i.e. if argument 
irscale 
A numeric defining a scaling factor for printing of
rates, i.e. if argument 
irunit 
A character specifying the time unit used to calculate rates, e.g. personyears. 
title 
Title of metaanalysis / systematic review. 
complab 
Comparison label. 
outclab 
Outcome label. 
label.e 
Label for experimental group. 
label.c 
Label for control group. 
label.left 
Graph label on left side of forest plot. 
label.right 
Graph label on right side of forest plot. 
n.e 
Number of observations in experimental group. (only for metagen object) 
n.c 
Number of observations in control group. (only for metagen object) 
pooledvar 
A logical indicating if a pooled variance should be
used for the mean difference (only for metacont object with

method.smd 
A character string indicating which method is used
to estimate the standardised mean difference (only for metacont
object with 
sd.glass 
A character string indicating which standard
deviation is used in the denominator for Glass' method to estimate
the standardised mean difference (only for metacont object with

exact.smd 
A logical indicating whether exact formulae should be used in estimation of the standardised mean difference and its standard error. 
method.ci 
A character string indicating which method is used
to calculate confidence intervals for individual studies. Either

byvar 
An optional vector containing grouping information (must
be of same length as 
bylab 
A character string with a label for the grouping variable. 
print.byvar 
A logical indicating whether the name of the grouping variable should be printed in front of the group labels. 
byseparator 
A character string defining the separator between label and levels of grouping variable. 
print.CMH 
A logical indicating whether result of the CochranMantelHaenszel test for overall effect should be printed. 
keepdata 
A logical indicating whether original data (set) should be kept in meta object. 
left 
A logical indicating whether studies are supposed to be
missing on the left or right side of the funnel plot. If NULL, the
linear regression test for funnel plot symmetry (i.e., function

ma.fixed 
A logical indicating whether a fixed effect or random effects model is used to estimate the number of missing studies. 
type 
A character indicating which method is used to estimate
the number of missing studies. Either 
n.iter.max 
Maximum number of iterations to estimate number of missing studies. 
warn 
A logical indicating whether warnings should be printed
(e.g., if 
... 
Additional arguments (ignored at the moment). 
Wrapper function to update an existing metaanalysis object which was created with R function metabin, metacont, metagen, metacor, metainc, or metaprop.
This function can also be used for objects of class 'trimfill', 'metacum', and 'metainf'.
More details on function arguments are available in help files of respective R functions, i.e. metabin, metacont, ...
An object of class "meta"
and "metabin"
,
"metacont"
, "metagen"
, "metaprop"
, or
"metacor"
.
Guido Schwarzer sc@imbi.unifreiburg.de
metabin
, metacont
, metagen
, metaprop
, metacor
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  data(Fleiss93cont)
meta1 < metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c,
data=Fleiss93cont, sm="SMD", studlab=study)
meta1
# Change summary measure (from 'SMD' to 'MD')
#
update(meta1, sm="MD")
# Restrict analysis to subset of studies
#
update(meta1, subset=1:2)
# Use different levels for confidence intervals
#
meta2 < update(meta1, level=0.66, level.comb=0.99)
print(meta2, digits=2)
forest(meta2)

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