Print and summary method functions for fitted meta-analytical models represented in objects of class "mixmeta".
# S3 method for mixmeta
summary(object, ci.level=0.95, …)# S3 method for summary.mixmeta
print(x, digits=4, report=c("sd","var"), …)
# S3 method for mixmeta
print(x, digits=4, …)
an object of class "mixmeta" produced by a call to mixmeta.
an object of class "mixmeta" or "summary.mixmeta", produced by calls to mixmeta or summary.mixmeta, respectively.
a numerical value between 0 and 1, specifying the confidence level for the computation of confidence intervals.
an integer specifying the number of digits to which printed results must be rounded.
if standard deviations (sd) or variances (var) must be reported for summarizing the random-effects (co)variance structure.
further arguments passed to or from other methods.
The summary method function for mixmeta objects produces a list of class "summary.mixmeta". The components of the lists are some of those stored in the related mixmeta object, plus the following:
a matrix reporting point estimates, standard errors, z statistics and related p-values of the test, and confidence intervals for the \(kp\) fixed-effects coefficients. Note this is different than the component with the same name stored in mixmeta objects, simply reporting the point estimates (see mixmetaObject).
the value of the Akaike information criterion for the fitted mixmeta model, obtained through a call to AIC.
the value of the Bayesian information criterion for the fitted mixmeta model, obtained through a call to BIC.
the \(kp \times kp\) correlation matrix of the fixed-effects coefficients, obtained from the (co)variance matrix vcov (see mixmetaObject and vcov).
the \(kq \times kq\) correlation matrix of the random effects, obtained from the random-effects (co)variance matrix Psi, or a list of multiple matrices for multilevel models. See mixmetaObject.
results from the Cochran Q test for heterogeneity, namely a list corresponding to a qtest.mixmeta object without its class, obtained through qtest.
I-squared statistic for the meta-analytical model.
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 "mixmeta" and "summary.mixmeta" do not return any value.
The print method function for class "mixmeta" 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.mixmeta". 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-squared.
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].
See mixmeta and mixmetaObject.
# NOT RUN {
# RUN THE MODEL
model <- mixmeta(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)
# REPORT RANDOM EFFECTS IN TERMS OF VARIANCES (USE print)
print(summary(model), report="var")
# }
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