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From | "E. Paul Wileyto" <epw@mail.med.upenn.edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Odds ratio |
Date | Thu, 08 Apr 2010 15:17:14 -0400 |
It doesn't sound like the reviewer is asking for much. Would it hurt to give the proportions?
You can actually generate those effect size numbers (d) if you report an Odds Ratio with CI95 and a sample size, but that is more convoluted.
P Rosie Chen wrote:
Hello, dear all,I have a question regarding a reviewer's comment on my use of odds ratio in interpreting the results of a logistic regression, and would appreciate it very much if you can provide any insight or any references for responding to the comment. The reviewer commented that all results are expressed in terms of odds ratios which makes it very difficult to assess the magnitude of the effect. Probabilities and changes in probabilities would be much easier to interpret. My impression is that, although it is true that predicted probabilities might be easier to understand, odds ratios have been used extensively in research when we interpret results from logit models. Do you have any suggestions regarding how to respond to this comment, or do you have any statistics textbooks in your mind that recommend odds ratio as a standard approach reporting results from logistic models?Thank you very much in advance! Rosie** For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/
-- E. Paul Wileyto, Ph.D. Assistant Professor of Biostatistics Tobacco Use Research Center School of Medicine, U. of Pennsylvania 3535 Market Street, Suite 4100 Philadelphia, PA 19104-3309 215-746-7147 Fax: 215-746-7140epw@mail.med.upenn.edu
* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/