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 -adoupdate- if you already have an old version.
The -bmjcip- package is described as below on my website. The new version adds a new possible value -htmlsuper- to the -esub()- option, allowing the user to recode numbers with "e+" or "e-" substrings to numbers with HTML superscripts. (The existing -esub()- possibilities included TeX and RTF superscripts.) And it also adds the ability to use input varlists of 1, 2, 3 or 4 variables. These are interpreted, respectively, as a P-value, an estimate with a P-value, an estimate with lower and upper confidence limits, or an estimate with lower and upper confidence limits and a P-value. This will be useful if the user wants to report a table of chi-squared test with P-values.
I have also added to the on-line help an example showing users how to implement the standard 20th century policy, in medical journals, of reporting P-values below 0.0005 as "<0.0005". This traditionally saved medical scientists the trouble of reporting P-values with exponents (superscripted or otherwise). However, it is probably not a good idea if you are reporting the highlights of a whole genome scan in which a million gene polymorphisms have been assessed for association with a disease, because, on average, 500 of these associations will have sample P-values less than 0.0005 by chance, even if all associations are null in the population at large. Under these standard 21st century conditions, a P-value less than 0.0005 should not be interpreted as being "as good as zero".
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/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 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: 07october2009
Stata-Version: 11
INSTALLATION FILES (click here to install)
bmjcip.ado
bmjcip.sthlp
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