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st: New version of -estparm- on SSC

From   "Newson, Roger B" <[email protected]>
To   statalist <[email protected]>
Subject   st: New version of -estparm- on SSC
Date   Sun, 6 Sep 2009 17:02:14 +0100

Thanks to Kit Baum, a new version of the -estparm- package is now available for download from SSC. In Stata, use the -ssc- command to do this, or -adoupdate- if you already have an existing version of -estparm-.

The -estparm- package is describned as below on my website. The new version is updated to Stata Version 11, and also fixes a rarely-encountered bug which caused -estparm- to fail uninformatively if only one parameter was input. I have also added a new option -dfcombime()-, specifying how the input degrees of freedom are combined to give a scalar degrees of freedom for the estimation results, and a new matrix estimation result -df_estparm-, containing the degrees-of-freedom vector, although this vector is not used in default by -estparmtest-.

Best wishes


Roger B Newson BSc MSc DPhil
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
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected] 
Web page:
Departmental Web page:

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

package estparm from

      estparm: Save results from a parmest resultsset and test equality

      estparm is an inverse of parmest.  It inputs 2 or 3 variables in
      the varlist, containing parameter estimates, standard errors, and
      (optionally) degrees of freedom.  It saves a set of estimation
      results for the parameters, assuming that the parameter estimates
      are statistically independent.  estparmtest is an extended version
      of estparm, which also performs a chi-squared or F test of the
      hypothesis that all these parameters are equal.  estparmtest can be
      used for performing interaction tests, using data from regression
      models for multiple subsets, stored in a parmest or parmby output
      dataset (or resultsset).
      Author: Roger Newson
      Distribution-Date: 04september2009
      Stata-Version: 11

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