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From |
Richard Williams <Richard.A.Williams.5@ND.edu> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>, "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Odds ratio |

Date |
Thu, 08 Apr 2010 16:43:02 -0500 |

At 01:47 PM 4/8/2010, Rosie Chen wrote:

Hello, dear all,I have a question regarding a reviewer's comment on my use of oddsratio in interpreting the results of a logistic regression, andwould appreciate it very much if you can provide any insight or anyreferences for responding to the comment.The reviewer commented that all results are expressed in terms ofodds ratios which makes it very difficult to assess the magnitude ofthe effect. Probabilities and changes in probabilities would be mucheasier to interpret. My impression is that, although it is true thatpredicted probabilities might be easier to understand, odds ratioshave been used extensively in research when we interpret resultsfrom logit models.Do you have any suggestions regarding how to respond to thiscomment, or do you have any statistics textbooks in your mind thatrecommend odds ratio as a standard approach reporting results fromlogistic models?

You may wish to check out Long and Freese's book: http://www.stata.com/bookstore/regmodcdvs.html

http://www.nd.edu/~rwilliam/xsoc73994/L12.pdf

------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * 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/

**Follow-Ups**:**Re: st: Odds ratio***From:*Rosie Chen <jiarongchen2002@yahoo.com>

**References**:**st: Odds ratio***From:*Rosie Chen <jiarongchen2002@yahoo.com>

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