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st: New version of -intsomd- on my website
From
"Roger B. Newson" <[email protected]>
To
"[email protected]" <[email protected]>, Boston Raymond <[email protected]>
Subject
st: New version of -intsomd- on my website
Date
Sat, 10 Aug 2013 20:45:56 +0100
Just to let you all know that I have now uploaded an updated version of
my -intsomd1- document to my website (in the miscellaneous
documents/unrefereed mathematical jottings section). This document is
described as below on my website, and explains how Somers' D can be
interpreted under 4 simple statistical models. The new version adds a
subsection describing how Somers' D identifies interpercentile odds
ratios of X with respect to Y, in an equal-variance Normal model where X
is binary and Y is conditionally Normal. This package is not distributed
on SSC because it is not a Statistical Software Component. I would like
to thank Dr Ray Boston for suggesting the first version of this document
in 2009.
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 intsomd1 from http://www.imperial.ac.uk/nhli/r.newson/miscdocs
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TITLE
intsomd1: Interpretation of Somers' D under four simple models
DESCRIPTION/AUTHOR(S)
This document outlines the interpretation of Somers' D of Y with
respect to X under four specific models, namely binary X and Y,
binary X and continuous Y with a constant hazard ratio, binary X and
Normal Y with equal variance in both X-groups, and bivariate Normal
X and Y. These interpretations enable users to understand the meaning
of a confidence interval for Somers' D, and to transform that
confidence interval to derive an outlier-resistant confidence
interval
for an alternative parameter.
Author: Roger Newson
Distribution-date: 08 August 2013
ANCILLARY FILES (click here to get)
intsomd1.pdf
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(click here to return to the previous screen)
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