summary.mvmeta {mvmeta} | R Documentation |
Summarizing mvmeta Models
Description
Print and summary method functions for fitted univariate or multivariate meta-analytical models represented in objects of class "mvmeta"
.
Usage
## S3 method for class 'mvmeta'
summary(object, ci.level=0.95, ...)
## S3 method for class 'summary.mvmeta'
print(x, digits=4, ...)
## S3 method for class 'mvmeta'
print(x, digits=4, ...)
Arguments
object |
an object of class |
x |
an object of class |
ci.level |
a numerical value between 0 and 1, specifying the confidence level for the computation of confidence intervals. |
digits |
an integer specifying the number of digits to which printed results must be rounded. |
... |
further arguments passed to or from other methods. |
Details
The print
method function for class "mvmeta"
only returns basic information on the fitted model, namely the call, estimated fixed-effects coefficients, dimensions and fit statistics (log-likelihood, AIC, BIC).
The summary
method function computes additional statistics and tests, and produces a list object of class "summary.mvmeta"
. The print
method function for this class shows additional information, such as tables reporting the estimates for the fixed and random-effects parts of the model, Cochran Q test for heterogeneity and I^2
.
Value
The summary
method function for mvmeta
objects produces a list of class "summary.mvmeta"
. The components of the lists are some of those stored in the related mvmeta
object, plus the following:
coefficients |
a matrix reporting point estimates, standard errors, z statistics and related p-values of the test, and confidence intervals for the |
AIC |
the value of the Akaike information criterion for the fitted |
BIC |
the value of the Bayesian information criterion for the fitted |
corFixed |
the |
corRandom |
the |
qstat |
results from the Cochran Q test for heterogeneity, namely a list corresponding to a |
ci.level |
the confidence level used for defining the confidence intervals for the estimates of the fixed-effects coefficients. |
As usual, the print
method functions for classes "mvmeta"
and "summary.mvmeta"
do not return any value.
Author(s)
Antonio Gasparrini, antonio.gasparrini@lshtm.ac.uk
References
Sera F, Armstrong B, Blangiardo M, Gasparrini A (2019). An extended mixed-effects framework for meta-analysis.Statistics in Medicine. 2019;38(29):5429-5444. [Freely available here].
Gasparrini A, Armstrong B, Kenward MG (2012). Multivariate meta-analysis for non-linear and other multi-parameter associations. Statistics in Medicine. 31(29):3821–3839. [Freely available here].
See Also
See mvmeta
and mvmetaObject
.
Examples
# RUN THE MODEL
model <- mvmeta(cbind(PD,AL)~pubyear,S=berkey98[5:7],data=berkey98)
# SIMPLE PRINT
model
# DEFINE DIGITS
print(model,digit=2)
# SUMMARY WITH 80TH CONFIDENCE INTERVALS
summary(model,ci.level=0.80)