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st: New version of -parmest- on SSC


From   "Newson, Roger B" <r.newson@imperial.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: New version of -parmest- on SSC
Date   Wed, 12 Mar 2008 13:07:50 -0000

Thanks to Kit Baum, a new version of the -parmest- package is now
available for download from SSC. In Stata, use the -ssc- command to do
this.

The -parmest- package is described as below on my website. The new
version is updated to Stata Version 10, with a Stata 10 format on-line
help system. It also now issues an informative error message if the user
attempts to use -parmest- with the very non-standard estimation commands
-exlogistic- and -expoisson-, which do not use standard errors in the
usual way to calculate their confidence limits.

Best wishes

Roger


Roger B 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: r.newson@imperial.ac.uk 
Web page: www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/pop
genetics/reph/

Opinions expressed are those of the author, not of the institution.


------------------------------------------------------------------------
------------------
package parmest from http://www.imperial.ac.uk/nhli/r.newson/stata10
------------------------------------------------------------------------
------------------

TITLE
      parmest: Create datasets with 1 observation per estimated
parameter

DESCRIPTION/AUTHOR(S)
      The parmest package has 4 modules: parmest, parmby, parmcip and
metaparm.
      parmest creates an output dataset, 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
dataset, 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.
parmcip inputs
      variables containing estimates, standard errors and (optionally)
degrees of
      freedom, and computes new variables containing confidence
intervals and
      P-values. metaparm inputs a parmest-type dataset with 1
observation for each
      of a set of independently-estimated parameters, and outputs a
dataset with
      1 observation for each of a set of linear combinations of these
parameters,
      with confidence intervals and P-values, as for a meta-analysis.
The output
      datasets created by parmest, parmby or metaparm  may be listed to
the Stata
      log and/or saved to a file and/or retained in memory (overwriting
any
      pre-existing dataset). The confidence intervals, P-values and
other parameter
      attributes in the dataset may be listed and/or plotted and/or
tabulated.
      
      Author: Roger Newson
      Distribution-Date: 05march2008
      Stata-Version: 10

INSTALLATION FILES                                  (click here to
install)
      metaparm.ado
      parmby.ado
      parmcip.ado
      parmest.ado
      metaparm.sthlp
      metaparm_content_opts.sthlp
      metaparm_outdest_opts.sthlp
      metaparm_resultssets.sthlp
      parmby.sthlp
      parmby_only_opts.sthlp
      parmcip.sthlp
      parmcip_opts.sthlp
      parmest.sthlp
      parmest_ci_opts.sthlp
      parmest_outdest_opts.sthlp
      parmest_resultssets.sthlp
      parmest_varadd_opts.sthlp
      parmest_varmod_opts.sthlp
------------------------------------------------------------------------
------------------
(click here to return to the previous screen)

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