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Re: st: Help please re Ocratio
From
"Jon Heron (ALSPAC)" <[email protected]>
To
[email protected]
Subject
Re: st: Help please re Ocratio
Date
Tue, 30 Oct 2007 14:52:10 +0000
thanks Anders,
Armstrong and Sloan (1989). Ordinal Regression Models for Epidemiological
Data. AJE, V129, #1.
Manor, Matthews and Power (2000) Dichotomous or categorical response?
Analysing self-rated health and lifetime social class. IJE, V29, 149-157
Greenland (1994) Alternative models for ordinal logistic regression.
Stats in Medicine, V13, 1665-1677.
best wishes
Jon
--On 30 October 2007 08:50 -0400 Anders Alexandersson
<[email protected]> wrote:
Please provide complete references. Rory Wolfe's command -ocratio-
uses a "forward stopping" continuation ratio model, P[Y=j|Y>=j] (i.e.,
like "Armstrong and Sloan" below), but with reverse sign of the slope
compared with logistic regression on expanded data so that the sign of
the slope is the same as in the usual proportional odds model.
Anders Alexandersson
[email protected]
Jon Heron (ALSPAC) <[email protected]> wrote:
I would like to fit a continuation ratio model to a 6-level outcome
using ocratio. I would then like to assess the constancy of model
parameters by fitting a series of logistic models
A quick lit search is showing variability in which comparisons are being
made with a CR model.
e.g. for 3-level outcome - 1/2/3
Armstrong and Sloan (1989)
1 versus 2 & 3
2 versus 3
Manor, Matthews and Power (2000)
1 versus 2
1 & 2 versus 3
Greenland (1994)
2 & 3 versus 1,2 & 3
3 versus 2 & 3
I imagine these are all permitted alternatives, but i would like to know
which particular comparisons are made using ocratio so I can fit the
appropriate logistic models.
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--------------------------------------------------
Dr Jon Heron
Statistics Team Leader
ALSPAC, Dept of Social Medicine
24 Tyndall Avenue
Bristol BS8 1TQ
Tel: 0117 3311616
Fax: 0117 3311704
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* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
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