st: New version of -bmjcip- on SSC

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

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

The -bmjcip- package is described as below on my website. The new 
version adds a new option -starvar()-, specifying a string variable to 
be appended to the decoded P-value variable (if one is present), or to 
the decoded uper confidence limit variable (if no P-value variable is 
present). This -starvar()- variable typically contains stars or other 
footnote indicators.

The -starvar()- option has also been added to the Stata Version 10 
version of -bmjcip-, which users can download from my website by typing, 
in Stata,

net from "http://www.imperial.ac.uk/nhli/r.newson/stata10/";

and selecting and installing -bmjcip-.

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 bmjcip from http://www.imperial.ac.uk/nhli/r.newson/stata11
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TITLE
      bmjcip: Format confidence intervals and P-values for medical journals

DESCRIPTION/AUTHOR(S)
      bmjcip reformats a list of numeric variables, containing estimates
      and/or confidence limits and/or P-values, to string variables,
      containing the same values formatted for presentation in medical
      journals.  The new string variables replace the old numeric
      variables, and have the same names, variable labels, variable
      characteristics, and positions in the dataset.  bmjcip is usually
      used in output datasets (or resultssets) produced by the parmest
      package, and the reformatted string variables are usually later
      output using the listtab package, for input to Microsoft Word or
      other word processors.  It requires the sdecode package in order to
      work.  The sdecode, parmest and listtab packages can all be
      downloaded from SSC.

      Author: Roger Newson
      Distribution-Date: 17january2011
      Stata-Version: 11

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