"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, ...)meta."TA" which stands for treatment arm continuity correction.incr is added to each
cell frequency of all studies if at least one study has a zero cell
count. If FALSE (default), incr is added only to each cell frequency of
studies with a zero cell count.incr is added to each cell
frequency of all studies irrespective of zero cell counts.sm is equal to "RR" or "OR").incr is not to be added
to all cell frequencies for studies with a zero cell count to
calculate the pooled estimate based on the Mantel-Haenszel method.incr instead of
1*incr is to be added to n.e and n.c in the
calculation of the risk ratio (i.e., sm="RR") for studies
with a zero cell. This is used in RevMan 5, the
Cochrane Collaboration's program for preparing and maintaining
Cochrane reviews."DL", "PM", "REML", "ML", "HS",
"SJ", "HE", or "EB", can be abbreviated. See
function metagen."rank",
"linreg", "mm", "count", "score", or
"peters", can be abbreviated. See function metabiasbacktransf=TRUE, results for sm="OR" are printed as
odds ratios rather than log odds ratios and results for
sm="ZCOR" are printed as correlations rather than Fisher's
z transformed correlations, for example.sm is equal to
"PLOGIT", "PLN", "PRAW", "PAS", or
"PFT".sm is equal to "IR",
"IRLN", "IRS", or "IRFT".sm="MD").sm="SMD"). Either "Hedges" for Hedges' g
(default), "Cohen" for Cohen's d, or "Glass" for
Glass' delta, can be abbreviated.sm="SMD"). Either "control" using the standard
deviation in the control group (sd.c) or
"experimental" using the standard deviation in the
experimental group (sd.e), can be abbreviated."CP", "WS", "WSCC", "AC",
"SA",, "SACC", or "NAsm", can be
abbreviated. See function metaprop.event.e).metabias(..., method="linreg")) is used to determine whether
studies are missing on the left or right side."L" or "R".incr is added to studies with zero cell
frequencies)."meta" and "metabin",
"metacont", "metagen", "metaprop", or
"metacor".
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, ...
metabin, metacont, metagen, metaprop, metacordata(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)
Run the code above in your browser using DataLab