| metacum {meta} | R Documentation |
Performs a cumulative meta-analysis.
metacum(x, pooled, sortvar, level=x$level, level.comb=x$level.comb)
x |
An object of class meta. |
pooled |
A character string indicating whether a fixed effect or
random effects model is used for pooling. Either missing (see
Details), "fixed", or "random", can be abbreviated. |
sortvar |
An optional vector used to sort the individual studies
(must be of same length as x$TE). |
level |
The level used to calculate confidence intervals for individual studies. |
level.comb |
The level used to calculate confidence intervals for pooled estimates. |
A cumulative meta-analysis is performed. Studies are included
sequentially as defined by sortvar.
Information from object x is utilised if argument pooled
is missing. A fixed effect model is assumed (pooled="fixed") if
parameter x$comb.fixed is TRUE; a random effects model
is assumed (pooled="random") if
parameter x$comb.random is TRUE and x$comb.fixed
is FALSE.
An object of class c("metacum", "meta") with corresponding
print, plot function. The object is a
list containing the following components:
TE, seTE |
Estimated treatment effect and standard error of pooled estimate in cumulative meta-analyses. |
studlab |
Study label describing addition of studies. |
p.value |
P-value for test of overall effect. |
I2 |
Heterogeneity statistic I2. |
tau |
Square-root of between-study variance. |
sm |
Summary measure. |
method |
Method used for pooling. |
k |
Number of studies combined in meta-analysis. |
pooled |
As defined above. |
TE.fixed, seTE.fixed |
Value is NA. |
TE.random, seTE.random |
Value is NA. |
Q |
Value is NA. |
tau |
Value is NA. |
level |
The level used to calculate confidence intervals for individual studies. |
level.comb |
The level used to calculate confidence intervals for pooled estimates. |
Guido Schwarzer sc@imbi.uni-freiburg.de
Cooper H & Hedges LV (1994), The Handbook of Research Synthesis. Newbury Park, CA: Russell Sage Foundation.
data(Fleiss93)
meta1 <- metabin(event.e, n.e, event.c, n.c,
data=Fleiss93, studlab=study,
sm="RR", meth="I")
meta1
metacum(meta1)
metacum(meta1, pooled="random")
grid.newpage()
forest(metacum(meta1, pooled="random"))