Thanks to Kit Baum, a new version of the -bmjcip- package is now available for download from SSC. In Stata, use the -ssc- command to do this, or use -adoupdate- if you already have an existing version.
The -bmjcip- package is described as below on my website. The new version is updated to Stata Version 10. It also adds a -headline()- option, which allows the user to set a named variable characteristic of the decoded variables to contain a headline cell for each variable, typically equal to "Estimate", "(95%", "CI(" and "P" for the estimate, lower confidence limit, upper confidence limit and P-value, respectively, although the user can choose non-default headings. This -headline()- option can be useful if the user then lists the data using -list- or -listtex-.
Users of Stata 9 can still download the Stata 9 version of -bmjcip- from my website by typing, in Stata,
net from http://www.imperial.ac.uk/nhli/r.newson/stata9
and selecting and downloading -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: [email protected]
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/stata10
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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,
confidence limits and (optionally) 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 later output
using the listtex package for input to Microsoft Word or other word
processors. It requires the sdecode package in order to work. The
sdecode, parmest and listtex packages can all be downloaded from
SSC.
Author: Roger Newson
Distribution-Date: 23april2009
Stata-Version: 10
INSTALLATION FILES (click here to install)
bmjcip.ado
bmjcip.sthlp
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