|
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: Binomial regression
If you use an identity link, you are assuming that, given a
difference in the independent variables that produces a change from .
50 to .60 in the probability represented by your dependent variable,
the same difference will also produce a change from .90 to 1.00 or
from .95 to 1.05. I can't imagine many real world processes that
would fit that model.
====================================
David C. Bell
Professor of Sociology
Indiana University Purdue University Indianapolis (IUPUI)
(317) 278-1336
====================================
On Aug 2, 2007, at 4:28 PM, Constantine Daskalakis wrote:
No argument about logistic regression. But that gives you odds
ratios. What if you want risk differences instead?
There are several good reasons why we might want binomial
regression (RD) instead of logistic regression (OR):
(i) Easier conceptual interpretation (RD vs. OR).
(ii) Causal effects interpretation (the RD can have it, but not the
OR).
(iii) Effects of independent variables may be more additive on the
original risk scale rather than on the log-odds scale (thus,
logistic regression would need lots of interaction terms to get a
good fit).
(iv) Because the reviewer/editor/boss fancies it.
By the way, there is no inherently "more appropriate" link function
for a particular type of outcome. It's just that some are
technically easier than others.
Best,
CD
On 8/2/2007 3:07 PM, Maarten buis wrote:
This may be a silly question, but why are you using the identity
link?
It is not very appropriate for a binary dependent variable since it
will eventually lead to prediction outside the allowable range, and
apperently there are also problems with getting the model to
converge.
Logit and probit links will converge in no time in Stata (probably
also
in SAS), and are more appropriate for binary dependent variables.
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
--
The documents accompanying this transmission may contain confidential
health or business information. This information is intended for the
use of the individual or entity named above. If you have received
this information in error, please notify the sender immediately and
arrange for the return or destruction of these documents.
Constantine Daskalakis, ScD
Assistant Professor,
Thomas Jefferson University, Division of Biostatistics
1015 Chestnut St., Suite M100, Philadelphia, PA 19107
Tel: 215-955-5695
Fax: 215-503-3804
Email: [email protected]
Webpage: http://www.jefferson.edu/clinpharm/biostatistics/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/