Hi,
I'm working on a logistic regression model and would appreciate help on converting the odds ratios. My understanding from class is that an odds ratio of 1.25 can be intepreted as 25 percent. But I'm not clear on what to do when the odds ratio is more than 1.0, like 4.37 or 3.09. How do I convert them to percentages?
Sorry for such a simple question but if you can help me understand this better, it'll be a big help.
Thank you!
Joe(sy)
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Administrator
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How did you get 25% for 1.25? Presumably, you did this: (1.25 - 1.00) x 100 = 25% So generally: (OR - 1) x 100 = percent increase (over the reference category) in the odds of the outcome p.s. - Last time I checked, 1.25 was greater than 1. ;-)
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
Thanks, Bruce! Your explanation makes more sense than my class notes. :) joesy
On Tue, Mar 9, 2010 at 5:07 AM, Bruce Weaver <[hidden email]> wrote:
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In reply to this post by Bruce Weaver
Hi Bruce,
I am having trouble understanding odds ratio's in relation to percentages. I think I'm right in thinking that an odds ratio of 1.07 corresponds to a 7% increase in the odds of whatever your variable is occurring. But just so I can be clear on your response to Java Joe, in the examples he quoted where the odds ratio's were higher (4.37 or 3.09), would they then correspond to percentages of 337% or 209%? Many thanks, GiantRolo |
GiantRolo,
Yours is the right definition of odds, but I feel you need some additional precision to correctly understand the issue. First, the odds of an event X equals the probability of X divided by the probability of non-X. Thus, odds of X = 1.07 means that the probability of X divided by the probability of non-X is 1.07. This means that the prob of X is p(X)=1.07 / (1+1.07) = 1.07/2.07=0.5169. Your other examples with odds of 4.37 and 3.09 are correct as well. Second, the odds are always relative to some reference. For instance, in a binary variable such as sex, the odds of being male = p(male)/p(female). In a multinomial variable such as Region (with categories such as East, North, South and West) you must choose a reference category, say East. Thus the odds of being West = p(West)/p(East), or more generally, p(X category)/p(reference category). Third, the odds are always the odds of a VALUE, or CATEGORY, or EVENT, not the odds of a variable: a variable by definition has more than one value, and the odds measure the relative likelihood of one particular value, relative to the likelihood of a reference value. Fourth, the odds may be computed for a SET of values, as distinct from a particular value; for instance, the odds of being either West or South, relative to the reference region (East), are odds(West OR South) = p(West OR South)/p(East). Assuming regions are exclusive of each other, i.e. cases belong to one region only, this would equal =[p(West)+p(South)] / p(East). Hector -----Mensaje original----- De: SPSSX(r) Discussion [mailto:[hidden email]] En nombre de GiantRolo Enviado el: Wednesday, October 31, 2012 14:15 Para: [hidden email] Asunto: Re: Converting Odds Ratios to Percentages Hi Bruce, I am having trouble understanding odds ratio's in relation to percentages. I think I'm right in thinking that an odds ratio of 1.07 corresponds to a 7% increase in the odds of whatever your variable is occurring. But just so I can be clear on your response to Java Joe, in the examples he quoted where the odds ratio's were higher (4.37 or 3.09), would they then correspond to percentages of 337% or 209%? Many thanks, GiantRolo -- View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Converting-Odds-Ratios-to-Perc entages-tp1092350p5715977.html Sent from the SPSSX Discussion mailing list archive at Nabble.com. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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