Thanks to Kit Baum, new versions of the -parmest- and -metaparm-
packages are now available for download from SSC. In Stata, use the
-ssc- command to do this.
The -parmest- and -metaparm- packages are described as below on my
website. The new versions are planned as the final Stata 8 versions
before the upgrade to Stata 9, and contain the same programs as before,
but the online help files are updated with additional Web references and
with my new email address.
Best wishes
Roger
Roger Newson
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
www.imperial.ac.uk/nhli/r.newson/
Opinions expressed are those of the author, not of the institution.
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package parmest from http://www.imperial.ac.uk/nhli/r.newson/stata8
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TITLE
parmest: Convert estimation results to a data set with 1 obs per
parameter
DESCRIPTION/AUTHOR(S)
parmest creates an output data set, with 1 observation per
parameter of the
most recent estimation results, and variables corresponding to
parameter names,
estimates, standard errors, z- or t-test statistics, P-values,
confidence
limits and other parameter attributes. parmby is a quasi-byable
extension to
parmest, which calls an estimation command, and creates a new data
set, with 1
observation per parameter if the by() option is unspecified, or 1
observation
per parameter per by-group if the by() option is specified. The
output data
set may be listed to the Stata log and/or saved to a file and/or
retained in
memory (overwriting any pre-existing data set).
Author: Roger Newson
Distribution-Date: 07november2006
Stata-Version: 8
INSTALLATION FILES (click here to
install)
parmest.ado
parmest.hlp
parmby.ado
parmby.hlp
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(click here to return to the previous screen)
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package metaparm from http://www.imperial.ac.uk/nhli/r.newson/stata8
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TITLE
metaparm: Meta-analysis and transformations using parmest
resultssets
DESCRIPTION/AUTHOR(S)
The metaparm package contains two resultsset-processing programs,
parmcip
and metaparm, for use with parmest resultssets. metaparm inputs a
dataset
in memory with one observation per parameter and variables
containing
estimates, standard errors and (optionally) degrees of freedom,
and creates
an output dataset with one observation, or one observation per
by-group, and
data on estimates, standard errors, z- or t-statistics, P-values
and
confidence limits for a linear combination (weighted sum) of the
input
parameters, assuming that the input parameters are estimated
independently
for different sub-populations. The output dataset can be listed
to the Stata
log, saved to a disk file, or written to memory, overwriting the
existing
dataset. metaparm is useful for meta-analyses and for calculating
confidence
intervals and P-values for differences or ratios between
parameters for
different subpopulations. parmcip inputs a dataset in memory with
one
observation per parameter and variables containing parameter
estimates,
standard errors and (optionally) degrees of freedom, and adds new
variables
to the dataset, containing the confidence limits, z- or
t-statistics,
P-values, and (optionally) stars for P-values. parmcip is useful
if the user
requires confidence intervals for a transformation of the original
parameters.
Author: Roger Newson
Distribution-Date: 07november2006
Stata-Version: 8
INSTALLATION FILES (click here to
install)
metaparm.ado
metaparm.hlp
parmcip.ado
parmcip.hlp
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(click here to return to the previous screen)
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
