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

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The second example comes from a follow-up study <strong>of</strong> lung c<strong>an</strong>cer <strong>an</strong>d coronary artery disease in<br />

relation to cigarette smoking:<br />

Mortality rates per 100,000 person-years from lung c<strong>an</strong>cer <strong>an</strong>d<br />

coronary artery disease for smokers <strong>an</strong>d nonsmokers <strong>of</strong> cigarettes<br />

Smokers Nonsmokers Ratio Difference<br />

C<strong>an</strong>cer <strong>of</strong> the lung 48.3 4.5 10.8 44<br />

Coronary artery disease 294.7 169.5 1.7 125<br />

Source: 1964 Surgeon General's Report on Smoking <strong>an</strong>d Health, page 110, quoted in Joseph Fleiss,<br />

Statistical methods for rates <strong>an</strong>d proportions, 2nd edition, page 91<br />

The rate ratio for the relation between smoking <strong>an</strong>d lung c<strong>an</strong>cer mortality is much larger th<strong>an</strong> that<br />

between smoking <strong>an</strong>d coronary artery disease mortality, but the rate difference is much larger for<br />

coronary artery disease mortality. These figures are usually interpreted to me<strong>an</strong> that lung c<strong>an</strong>cer<br />

mortality is more closely associated with cigarette smoking th<strong>an</strong> is coronary artery disease mortality;<br />

elimination <strong>of</strong> cigarette smoking would lead to a proportionate reduction in lung c<strong>an</strong>cer mortality<br />

greater th<strong>an</strong> the proportionate reduction in coronary artery disease mortality. However, the<br />

reduction in the number <strong>of</strong> deaths from lung c<strong>an</strong>cer would be smaller in magnitude th<strong>an</strong> the<br />

reduction in deaths from coronary artery disease. These issues will be explored in detail in the<br />

section Measures <strong>of</strong> Impact, later in this chapter.<br />

Concept <strong>of</strong> relative risk<br />

Nevertheless, for the most part we use relative risk as the basic measure <strong>of</strong> strength <strong>of</strong> association<br />

between a characteristic <strong>an</strong>d the development <strong>of</strong> a condition.<br />

General approach - compare observed to “expected”.<br />

Concept <strong>of</strong> relative risk is operationalized by :<br />

a. Cumulative incidence ratio (CIR), also called risk ratio<br />

b. Incidence density ratio (IDR), also called rate ratio<br />

c. Odds ratio (OR), which estimates CIR <strong>an</strong>d IDR under certain circumst<strong>an</strong>ces.<br />

General formula:<br />

Incidence in “exposed” I 1<br />

Inc i de nc e ra ti o = ————————————— = ———<br />

Incidence in “unexposed” I 0<br />

You may recall from the chapter on st<strong>an</strong>dardization that the SMR c<strong>an</strong> be thought <strong>of</strong> as a ratio <strong>of</strong><br />

“observed” to “expected” mortality rates. In fact, the concept <strong>of</strong> observed <strong>an</strong>d expected c<strong>an</strong> be<br />

_____________________________________________________________________________________________<br />

www.epidemiolog.net, © Victor J. Schoenbach 2000 7. Relating risk factors to health - 168<br />

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

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