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st: New package -scsomersd- on SSC
From
Roger Newson <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: New package -scsomersd- on SSC
Date
Thu, 4 Nov 2010 17:26:14 +0000
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
--
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.
---------------------------------------------------------------------------
package scsomersd from http://www.imperial.ac.uk/nhli/r.newson/stata10
---------------------------------------------------------------------------
TITLE
scsomersd: Rank statistics for scenario comparisons
DESCRIPTION/AUTHOR(S)
scsomersd, sccendif and sccenclope compute confidence intervals for
rank statistics comparing scenarios. Scenarios are alternative
versions of the data, differing in the values of sampling
probability weights and/or in the values of an outcome variable.
The scenario-comparison rank statistics compare 2 scenarios,
denoted Scenario 0 and Scenario 1, derived from the dataset in the
memory, in a temporary extended dataset with 1 observation per
original observation per scenario. scsomersd estimates the Somers'
D or Kendall tau-a of the outcome variable, and sccendif and
sccenslope estimate the Hodges-Lehmann percentile differences of
the outcome variable, with respect to scenario membership.
Examples of between-scenario rank statistics include the Gini
coefficient of inequality, the population attributable risk (PAR),
percentiles of weighted and/or clustered samples, and
Hodges-Lehmann percentile differences between paired samples.
scsomersd, sccendif and sccenclope use the packages somersd and
expgen, which must be installed in order for the programs to work,
and can be downloaded from SSC.
Author: Roger Newson
Distribution-date: 04november2010
Stata-version: 10
INSTALLATION FILES (click here to install)
sccendif.ado
sccenslope.ado
scsomersd.ado
sccendif.sthlp
sccenslope.sthlp
scsomersd.sthlp
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