Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: New package -scsomersd- on SSC
From
Roger Newson <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: New package -scsomersd- on SSC
Date
Fri, 5 Nov 2010 13:59:06 +0000
Thanks to Steven for the appreciation. The idea of a -strata()- option
for -somersd- (inherited automatically by -cendif-, -censlope-,
-scsomersd-, -sccendif- and -sccenslope-) looks as if it might be a good
one.
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.
On 04/11/2010 20:09, Steven Samuels wrote:
-
For survey analysts, Roger's new package is a wonderful addition to
Stata. It is the only package that will estimate valid, albeit
conservative, CIs of percentiles for clustered and weighted data
(conservative, because stratum information is not used). Thank you,
Roger!
Steve
Steven J. Samuels
[email protected]
18 Cantine's Island
Saugerties NY 12477
USA
Voice: 845-246-0774
Fax: 206-202-4783
On Nov 4, 2010, at 1:26 PM, Roger Newson wrote:
Thanks to Kit Baum, a new package -scsomersd- is now available for
download from SSC. In Stata, use the -ssc- command to do this.
The -scsomersd- package is described as below on my website, and
requires the existing SSC packages -expgen- and -somersd- in order to
work. It simplifies the calculation of a sub-family of rank statistics
for scenario comparisons. This sub-family includes confidence
intervals for medians, and other percentiles, in clustered or weighted
samples. It also includes the Gini inequality coefficient, the
population attributable risk (PAR), and Hodges-Lehmann median
differences between paired samples.
Best wishes
Roger
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/