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From |
jhilbe@aol.com |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: RE: Odds ratio |

Date |
Fri, 09 Apr 2010 12:43:49 -0400 |

use. The method was proposed in an article by Zhang and Yu in 1998 in

most elite of medical journals. So it gained considerable popularity.

provide the calculations required to make the determination. Joseph Hilbe Date: Thu, 08 Apr 2010 16:21:49 -0400 From: Richard Goldstein <richgold@ix.netcom.com> Subject: Re: st: RE: Odds ratio well, first, I disagree with Paul's recommendation of -oddsrisk- there is now lots of evidence that this algorithm is biased; for results, and other ways of translating OR to RR see Blizzard, L and Hosmer, DW (2006), "Parameter estimation and goodness-of-fit in log binomial regression," _Biometrical Journal_, 48: 5-22; for a different way of looking at this, with Stata code, see, Localio, AR, Margolis, DJ and Berlin, JA (2007), "Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression," _Journal of Clinical Epidemiology_, 60: 874-882 second, if the OP really wants to present things in terms of changes in

Rich On 4/8/10 4:05 PM, Visintainer, Paul wrote:

Rosie,Many health professionals find the ORs difficult to interpret,

especially if the base proportion is common. It doesn't sound like the reviewer is questioning your analysis, just the way you present the results -- and,

confusing for someone trying to interpret this OR like a relative risk.

One approach might be to try a program by Joseph Hilbe, called

-oddsrisk-. It

1.5). This probably will make more sense to certain readers.

Note that using the term "relative risk" depends on your study. If

your

have "prevalence ratios", not relative risks.

Best, -p ________________________________________________ Paul F. Visintainer, PhD Baystate Medical Center Division of Academic Affairs - 3rd Floor Springfield, MA 01199 -----Original Message-----From: owner-statalist@hsphsun2.harvard.edu

[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Rosie Chen

Sent: Thursday, April 08, 2010 2:48 PM To: statalist@hsphsun2.harvard.edu Subject: st: Odds ratio Hello, dear all,I have a question regarding a reviewer's comment on my use of odds

ratio in

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.

interpret results from logit models.

Do you have any suggestions regarding how to respond to this comment,

or do

standard approach reporting results from logistic models?

Thank you very much in advance! Rosie

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**Follow-Ups**:**Re: st: RE: Odds ratio***From:*"Michael I. Lichter" <mlichter@buffalo.edu>

**st: RE: RE: Odds ratio***From:*"Visintainer, Paul" <Paul.Visintainer@baystatehealth.org>

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