| metacont {meta} | R Documentation |
Calculation of fixed and random effects estimates for meta-analyses with continuous outcome data; inverse variance weighting is used for pooling.
metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c, studlab,
data=NULL, subset=NULL, sm="WMD")
n.e |
Number of observations in experimental group. |
mean.e |
Estimated mean in experimental group. |
sd.e |
Standard deviation in experimental group. |
n.c |
Number of observations in control group. |
mean.c |
Estimated mean in control group. |
sd.c |
Standard deviation in control group. |
studlab |
An optional vector with study labels. |
data |
An optional data frame containing the study information, i.e., n.e, mean.e, sd.e, n.c, mean.c, and n.c. |
subset |
An optional vector specifying a subset of studies to be used. |
sm |
A character string indicating which summary measure
("WMD" or "SMD") is to be used for pooling of
studies. |
Calculation of fixed and random effects estimates for meta-analyses
with continuous outcome data; inverse variance weighting is used for
pooling. The DerSimonian-Laird estimate is used in the
random effects model. For the summary measure "SMD",
Hedges' adjusted g is utilised for pooling.
The function metagen is called internally to calculate
individual and overall treatment estimates and standard errors.
An object of class c("metacont", "meta") with corresponding
print, summary, plot function. The object is a
list containing the following components:
n.e, mean.e, sd.e, |
|
n.c, mean.c, sd.c, |
As defined above. |
studlab, sm |
|
TE, seTE |
Estimated treatment effect and standard error of individual studies. |
w.fixed, w.random |
Weight of indiviudal studies (in fixed and random effects model). |
TE.fixed, seTE.fixed |
Estimated overall treatment effect and standard error (fixed effect model). |
TE.random, seTE.random |
Estimated overall treatment effect and standard error (random effects model). |
k |
Number of studies combined in meta-analysis. |
Q |
Heterogeneity statistic. |
tau |
Square-root of between-study variance (moment estimator of DerSimonian-Laird). |
method |
Pooling method: "Inverse". |
call |
Function call. |
Guido Schwarzer sc@imbi.uni-freiburg.de
Cooper H & Hedges LV (1994), The Handbook of Research Synthesis. Newbury Park, CA: Russell Sage Foundation.
data(Fleiss93cont)
meta1 <- metacont(n.e, mean.e, sd.e, n.c, mean.c, sd.c, data=Fleiss93cont, sm="SMD")
meta1
meta2 <- metacont(Fleiss93cont$n.e, Fleiss93cont$mean.e,
Fleiss93cont$sd.e,
Fleiss93cont$n.c, Fleiss93cont$mean.c,
Fleiss93cont$sd.c,
sm="SMD")
meta2