--- Steven Samuels <[email protected]> wrote:
> A linear probability model is desirable because effects are risk
> differences, which are much easier to interpret than odds ratios.
I disagree, both measures are perfectly understandable. With odds
ratios you are representing chance by at odds instead of probability.
Both are easy to understand: odds give you the expected number of
successes for every failure, while probability gives you the expected
proportion of successes. With odds ratios groups are compared by
calculating the ratio: e.g. the odds of success for men is 10% higher
than the odds of succes for women. With risk difference you are
comparing the groups by computing differences.
-- 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/
-----------------------------------------
__________________________________________________________
Sent from Yahoo! Mail - a smarter inbox http://uk.mail.yahoo.com
*
* 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/