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st: New semi-version of -powercal- on SSC


From   Roger Newson <roger.newson@kcl.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   st: New semi-version of -powercal- on SSC
Date   Fri, 12 Dec 2003 15:26:45 +0000

Dear All

Thanks to Kit Baum, a new semi-version of the -powercal- package (described as below on my website) is downloadable from SSC. The program still the same, but I have fixed a few typos in the manual and in the help file.

Best wishes

Roger

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package powercal from http://www.kcl-phs.org.uk/rogernewson/stata7
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TITLE
powercal: Generalized power calculations saving results in variables

DESCRIPTION/AUTHOR(S)
powercal performs general power calculations, storing the result in a new
variable, which can be plotted and/or listed. It can calculate any of 5
quantities, namely number of sampling units, power, alpha (significance
level), delta (difference in parameter value to be detected), or the
standard deviation (SD) of the influence function, defined as the standard
error multiplied by the square root of the sample number. Each of these 5
quantities is calculated using user-defined expressions for the other 4,
usually involving existing variables supplied by the user. powercal has
2 advantages over sampsi. First, it performs general power calculations,
not only power calculations for special cases such as differences between
means and proportions. Second, it stores the results in variables, which
the user can list and/or plot on graphs. This package has an on-line
manual powercal.pdf containing the Methods and Formulas and details on
the Examples in the help file.

Author: Roger Newson
Distribution-Date: 11dec2003
Stata-Version: 7

INSTALLATION FILES (click here to install)
powercal.ado
powercal.hlp

ANCILLARY FILES (click here to get)
powercal.pdf
--------------------------------------------------------------------------------

--
Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
King's College London
5th Floor, Capital House
42 Weston Street
London SE1 3QD
United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
Fax: 020 7848 6620 International +44 20 7848 6620
or 020 7848 6605 International +44 20 7848 6605
Email: roger.newson@kcl.ac.uk
Website: http://www.kcl-phs.org.uk/rogernewson

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

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