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From | "Roger B. Newson" <r.newson@imperial.ac.uk> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | st: New version of -parmest- on SSC |
Date | Sun, 13 Apr 2014 16:13:14 +0100 |
The -parmest- package is described as below on my website. The new version fixes a bug, which sometimes caused the -parmby- module to fail when processing very large datasets (eg tens of millions of observations). I would like to thank Tadashi Ito of the Graduate Institute in Geneva for alerting me to this bug.
Best wishes Roger -- Roger B Newson BSc MSc DPhil Lecturer in Medical Statistics Respiratory Epidemiology, Occupational Medicine 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 7594 7931 Email: r.newson@imperial.ac.uk Web page: http://www.imperial.ac.uk/nhli/r.newson/ Departmental Web page: http://www.imperial.ac.uk/nhli/reomph/ Opinions expressed are those of the author, not of the institution. ------------------------------------------------------------------------------------------ package parmest from http://www.imperial.ac.uk/nhli/r.newson/stata11 ------------------------------------------------------------------------------------------ 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 anypre-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: 07april2014 Stata-Version: 11 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) * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/