metainf {meta} | R Documentation |
Performs a influence analysis. Pooled estimates are calculated omitting one study at a time.
metainf(x, pooled="fixed", 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 "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. |
Performs a influence analysis; pooled estimates are calculated
omitting one study at a time. Studies are sorted according to sortvar
.
An object of class c("metainf", "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 influence analysis. |
studlab |
Study label describing omission of studies. |
p.value |
P-value for test of overall effect. |
w |
Sum of weights from fixed effect or random effects model. |
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 metainf(meta1) metainf(meta1, pooled="random") grid.newpage() forest(metainf(meta1, pooled="random"), comb.random=TRUE)