Summary method for objects of class netmeta.
# S3 method for netmeta
summary(
object,
common = object$common,
random = object$random,
prediction = object$prediction,
reference.group = object$reference.group,
baseline.reference = object$baseline.reference,
all.treatments = object$all.treatments,
overall.hetstat = object$overall.hetstat,
backtransf = object$backtransf,
nchar.trts = object$nchar.trts,
warn.deprecated = gs("warn.deprecated"),
...
)A list of class "summary.netmeta" is returned with the following elements:
Total number of studies.
Total number of pairwise comparisons.
Total number of treatments.
Total number of designs (corresponding to the unique set of treatments compared within studies).
Treatments included in network meta-analysis.
Number of studies evaluating a treatment.
Number of observations receiving a treatment (if available).
Number of events observed for a treatment (if available).
Study labels coerced into a factor with its levels sorted alphabetically.
Number of arms for each study.
Vector with unique designs present in the network. A design corresponds to the set of treatments compared within a study.
Vector with unique direct comparisons present in the network.
Results for pairwise comparisons (data frame with columns studlab, treat1, treat2, TE, seTE, lower, upper, z, p).
Results for pairwise comparisons based on common effects model (data frame with columns studlab, treat1, treat2, TE, seTE, lower, upper, z, p, leverage).
Results for pairwise comparisons based on random effects model (data frame with columns studlab, treat1, treat2, TE, seTE, lower, upper, z, p).
Results for common effects model (a list with elements TE, seTE, lower, upper, z, p).
Results for random effects model (a list with elements TE, seTE, lower, upper, z, p).
Prediction intervals (a list with elements seTE, lower, upper).
Overall heterogeneity / inconsistency statistic.
Degrees of freedom for test of heterogeneity / inconsistency.
P-value for test of heterogeneity / inconsistency.
I-squared, lower and upper confidence limits.
Square-root of between-study variance.
Overall heterogeneity statistic.
Degrees of freedom for test of overall heterogeneity.
P-value for test of overall heterogeneity.
Overall inconsistency statistic.
Degrees of freedom for test of overall inconsistency.
P-value for test of overall inconsistency.
Data frame with columns 'treat1', 'treat2', 'Q', 'df' and 'pval.Q', providing heterogeneity statistics for each pairwise meta-analysis of direct comparisons.
A character string indicating underlying summary measure.
A character string indicating which method is to be used for pooling of studies.
The level used to calculate confidence intervals for individual studies.
The level used to calculate confidence intervals for pooled estimates.
The level used to calculate prediction intervals for a new study.
Label for confidence interval.
Numerical value added to cell frequencies (if applicable).
A character string indicating which continuity correction method was used (if applicable).
A logical indicating whether studies with zero events or non-events in all treatment arms should be included in an inverse variance meta-analysis (if applicable).
A logical indicating whether incr should be
used as a continuity correction (if applicable).
As defined above.
As defined above.
A character specifying the sequence of treatments.
An optional value for the square-root of the between-study variance \(\tau^2\).
A character used in comparison names as separator between treatment labels.
A numeric defining the minimum number of characters used to create unique treatment names.
As defined above.
Title of meta-analysis / systematic review.
Function call.
Version of R package netmeta used to create object.
An object of class netmeta.
A logical indicating whether results for the common effects model should be printed.
A logical indicating whether results for the random effects model should be printed.
A logical indicating whether prediction intervals should be printed.
Reference treatment.
A logical indicating whether results
should be expressed as comparisons of other treatments versus the
reference treatment (default) or vice versa. This argument is
only considered if reference.group has been specified.
A logical or "NULL". If TRUE,
matrices with all treatment effects, and confidence limits will
be printed.
A logical indicating whether to print heterogeneity measures.
A logical indicating whether results should be back transformed in printouts and forest plots.
A numeric defining the minimum number of characters used to create unique treatment names (see Details).
A logical indicating whether warnings should be printed if deprecated arguments are used.
Additional arguments (to catch deprecated arguments).
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
netmeta