help parmhet_resultsset(Roger Newson)

Output dataset created by parmhet

The output dataset (or resultsset) created by parmhet has one observation,
or one observation per by-group if the by() option is specified,
and data on the heterogeneity-test statistics for the dataset or by-group.
The variables are as follows:

Default name Description

idnum Numeric dataset ID

idstr String dataset ID

by-variables Variables specified in the by() option

sumvar-variables Variables specified in the sumvar() option

chi2het Heterogeneity chi-squared

dfhet Heterogeneity degrees of freedom

i2het Heterogeneity I-squared

tau2het Heterogeneity tau-squared

fhet Heterogeneity F

resdfhet Heterogeneity residual degrees of freedom

phet Heterogeneity P-value

The variables with default names idnum and idstr are only present
if supplied with values (constant in all observations in the resultsset)
by the idnum() idstr() options, respectively.
They may have non-default names,
which can be specified using the nidnum() and nidstr() options, described in
parmhet_resultsset_opts.
The by-variables, if present, identify uniquely the observations in the resultsset,
and are specified by the by() option,
described in parmhet_basic_opts.
If the by() option is not specified,
then there is only one observation in the resultsset,
containing test statistics for the whole set of input parameters in the input dataset.
The sumvar-variables, if present, are specified by the sumvar() option,
described in parmhet_resultsset_opts.
The other variables contain heterogeneity-test statistics for the dataset,
or for the by-group if the by() option is specified.
They are described in parmhet_hettest_opts.
The variables with default names fhet and resdfhet
are only present if an input degrees-of-freedom variable is specified,
in addition to the input estimate and standard error variables.
The variable with the default name phet
contains a P-value for the F-test if an input degrees-of-freedom variable is specified,
and a chi-squared P-value otherwise.
All of the heterogeneity-test statistic variables
can be renamed from their default names,
using the options of the same names described in parmhet_hettest_opts.

Author

Roger Newson, National Heart and Lung Institute, Imperial College London, UK.
Email: r.newson@imperial.ac.uk

Also see

Manual: [R] meta, [R] test

On-line: help for parmhet, parmiv,
parmhet_basic_opts,
parmhet_resultsset_opts,
parmhet_hettest_opts

help for test

help for parmest, parmby, parmcip, metaparm, metan if installed