st: new version of -xglm- on SSC

[Roger Newson <r.newson@imperial.ac.uk>]

Thanks as always to the greatly appreciated services of Kit Baum, a new 
version of the -xglm- package is now available for download from SSC. In 
Stata, use the -ssc- command to do this, or -adoupdate- if you already 
have a version of -xglm-.

The -xglm- package, an extended version of -glm-, is described as below 
on my website. The new version has tha additional scalar estimation 
result -e(msum)-, containing the sum, in the estimation sample, of the 
binomial total expression -e(m)-. Therefore, if you are fitting a 
binomial regression model to a sample of samples of binary data (eg a 
sample of wells on a laboratory plate, each containing a sample of 
cells, each of which cells may or may not have a chromosomal 
abnormality), then you can estimate the odds and odds ratios for the 
event of interest using -xglm-, and also save the total numbers of cells 
and abnormal cells in the -parmby- resultsset.

Best wishes

Roger


--
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
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: r.newson@imperial.ac.uk
Web page: http://www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/

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

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package xglm from http://www.imperial.ac.uk/nhli/r.newson/stata11
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TITLE
      xglm: Extended version of glm

DESCRIPTION/AUTHOR(S)
      xglm is an extended version of glm, designed mostly for use
      with the parmby option of the parmest package, downloadable
      from SSC.

      Author: Roger Newson
      Distribution-Date: 27july2011
      Stata-Version: 11

INSTALLATION FILES                                  (click here to install)
      xglm.ado
      xglm.sthlp
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