print.meta {meta} | R Documentation |
Print and summary method for objects of class meta
.
## S3 method for class 'meta': print(x, sortvar, level=x$level, level.comb=x$level.comb, comb.fixed=x$comb.fixed, comb.random=x$comb.random, details=FALSE, ma=TRUE, digits=max(4, .Options$digits - 3), ...) ## S3 method for class 'metabias': print(x, ...) ## S3 method for class 'meta': summary(object, byvar=object$byvar, bylab=object$bylab, print.byvar=object$print.byvar, bystud=FALSE, level=object$level, level.comb=object$level.comb, comb.fixed=object$comb.fixed, comb.random=object$comb.random, warn=TRUE, ...) ## S3 method for class 'summary.meta': print(x, digits = max(3, .Options$digits - 3), print.byvar, comb.fixed=x$comb.fixed, comb.random=x$comb.random, header=TRUE, ...)
x |
An object of class meta , metabias , or
summary.meta . |
object |
An object of class meta . |
sortvar |
An optional vector used to sort the individual studies
(must be of same length as x$TE ). |
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. |
header |
A logical indicating whether information on title of meta-analysis, comparison and outcome should be printed at the beginning of the printout. |
details |
A logical indicating whether further details of individual studies should be printed. |
ma |
A logical indicating whether the summary results of the meta-analysis should be printed. |
byvar |
An optional vector containing grouping information (must
be of same length as x$TE ). |
bylab |
A character string with a label for the grouping variable. |
bystud |
A logical indicating whether results of individual studies should be printed by grouping variable. |
digits |
Minimal number of significant digits, see print.default . |
print.byvar |
A logical indicating whether the name of the grouping
variable should be printed in front of the group labels. By default,
the value of print.byvar is set to TRUE . |
warn |
A logical indicating whether the use of
summary.meta in connection with metacum or
metainf should result in a warning. |
... |
other arguments |
Review Manager 5 (RevMan 5) is the current software used for
preparing and maintaining Cochrane Reviews
(http://www.cc-ims.net/revman/). In RevMan 5, subgroup analyses
can be defined and data from a Cochrane review can be imported to R
using the function read.rm5
. If a meta-analysis is then
conducted using function metacr
, information on subgroups is
available in R (components byvar
, bylab
, and
print.byvar
, byvar
in an object of class
"meta"
). Accordingly, by using function metacr
there is
no need to define subgroups in order to redo the statistical analysis
conducted in the Cochrane review.
For subgroups (argument byvar
not NULL
), results for the
fixed effect model will be printed if both arguments comb.fixed
and comb.random
are TRUE
. In order to get results for
the random effects model within subgroups, use
comb.fixed==FALSE
and comb.random==TRUE
.
A list is returned by the function summary.meta
with the
following elements:
study |
Results for individual studies (a list with elements TE, seTE, lower, upper, z, p, level). |
fixed |
Results for fixed effect model (a list with elements TE, seTE, lower, upper, z, p, level). |
random |
Results for random effects model (a list with elements TE, seTE, lower, upper, z, p, level). |
k |
Number of studies combined in meta-analysis. |
Q |
Heterogeneity statistic Q. |
tau |
Square-root of between-study variance (moment estimator of DerSimonian-Laird). |
H |
Heterogeneity statistic H (a list with elements TE, lower, upper). |
I2 |
Heterogeneity statistic I2 (a list with elements TE, lower, upper), see Higgins & Thompson (2002). |
k.all |
Total number of trials. |
Q.CMH |
Cochrane-Mantel-Haenszel heterogeneity statistic. |
sm |
A character string indicating underlying summary measure. |
method |
A character string with the pooling method. |
call |
Function call. |
ci.lab |
Label for confidence interval. |
within.fixed |
Result for fixed effect model within groups (a
list with elements TE, seTE, lower, upper, z, p, level) - if
byvar is not missing. |
within.random |
Result for random effects model within groups (a
list with elements TE, seTE, lower, upper, z, p, level) - if
byvar is not missing. |
k.w |
Number of studies combined within groups - if byvar
is not missing. |
Q.w |
Heterogeneity statistic Q within groups - if byvar
is not missing. |
bylab |
Label for grouping variable - if byvar is not
missing. |
by.levs |
Levels of grouping variable - if byvar is not
missing. |
comb.fixed, comb.random |
As defined above. |
Guido Schwarzer sc@imbi.uni-freiburg.de
Cooper H & Hedges LV (1994), The Handbook of Research Synthesis. Newbury Park, CA: Russell Sage Foundation.
Higgins JPT & Thompson SG (2002), Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539–1558.
data(Fleiss93cont) meta1 <- metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c, data=Fleiss93cont, sm="SMD") summary(meta1) summary(meta1, byvar=c(1,2,1,1,2), bylab="group")