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Fundamentals of epidemiology - an evolving text - Are you looking ...

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(Risk) odds ratio<br />

The odds ratio (OR) is a ratio <strong>of</strong> “odds”, which are tr<strong>an</strong>sformations <strong>of</strong> risks or probabilities.<br />

odds = p/(1-p), where p = probability<br />

The OR addresses the question “how m<strong>an</strong>y times greater is the odds <strong>of</strong> disease for exposed persons<br />

th<strong>an</strong> for unexposed persons?” Since odds have a different scale <strong>of</strong> measurement th<strong>an</strong> risk, the<br />

<strong>an</strong>swer to this question c<strong>an</strong> sometimes differ from the <strong>an</strong>swer to the corresponding question about<br />

risk. Often, however, we are concerned with rare diseases, for which risk <strong>an</strong>d odds are very close<br />

<strong>an</strong>d CIR’s <strong>an</strong>d OR’s (<strong>an</strong>d IDR’s) are very close. Since the OR c<strong>an</strong> be defined in terms <strong>of</strong> odds <strong>of</strong><br />

disease among exposed or odds <strong>of</strong> exposure among cases, there are two mathematical formulations:<br />

Odds in “exposed”<br />

Odds ra ti o = ————————————<br />

Odds in “unexposed”<br />

The odds is simply <strong>an</strong> algebraic tr<strong>an</strong>sformation <strong>of</strong> probability, so <strong>an</strong>y probability (which must, <strong>of</strong><br />

course, be less th<strong>an</strong> 1.0) c<strong>an</strong> be expressed as “odds”. The probability that something may happen,<br />

especially something bad, is <strong>of</strong>ten referred to as a “risk”. Odds derived from a risk are termed,<br />

appropriately, risk odds, so that a ratio <strong>of</strong> two risk odds is a risk odds ratio, or ROR.<br />

(Exposure) odds ratio<br />

A prevalence is commonly referred to as <strong>an</strong> estimate <strong>of</strong> probability (e.g., <strong>of</strong> exposure). A justification<br />

for this usage is that if we were to select <strong>an</strong> individual at r<strong>an</strong>dom from the group, the probability that<br />

that individual would have a certain characteristic is estimated by the prevalence in the group. Odds<br />

that correspond to the probability <strong>of</strong> exposure are called “exposure odds”, so their ratio is <strong>an</strong><br />

exposure odds ratio, or EOR. Although conceptually distinct, for a two-by-two table these two<br />

odds ratios are algebraically identical, as we shall see. Thus, our ability to estimate <strong>an</strong> (exposure)<br />

odds ratio in a situation where we do not know disease incidence is a powerful tool for examining<br />

associations involving disease incidence even where we do not have incidence data, as was first<br />

presented in a classic paper by Jerome Cornfield (see the chapter on Analytic Study Designs for<br />

elaboration).<br />

Risk odds in “exposed” odds1 CI1 / (1-CI1)<br />

ORr = Risk odds ratio = —————————————— = ——— = ———————<br />

Risk odds in “unexposed” odds0 CI0 / (1-CI0)<br />

Exposure odds in “cases” odds1<br />

ORe = Exposure odds ratio = ——————————————— = ————<br />

Exposure in “noncases” odds0<br />

_____________________________________________________________________________________________<br />

www.epidemiolog.net, © Victor J. Schoenbach 2000 7. Relating risk factors to health - 172<br />

rev. 10/9/2000, 5/8/2001, 2/19/2002, 4/26/2002

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