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Statistical Methods in Medical Research 4ed

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672 <strong>Statistical</strong> methods <strong>in</strong> epidemiology<br />

where IE and INE are the <strong>in</strong>cidence rates <strong>in</strong> the exposed and non-exposed,<br />

respectively. This measure may also be referred to as the risk ratio.<br />

In a cohort study the relative risk can be estimated directly, s<strong>in</strong>ce estimates<br />

are available of both IE and INE. In a case±control study the relative risk cannot<br />

be estimated directly s<strong>in</strong>ce neither IE nor INE can be estimated, and we now<br />

consider how to obta<strong>in</strong> a useful solution.<br />

Suppose that each subject <strong>in</strong> a large population has been classified as positive<br />

or negative accord<strong>in</strong>g to some potential aetiological factor, and positive or<br />

negative accord<strong>in</strong>g to some disease state. The factor might be based on a current<br />

classification or (more usually <strong>in</strong> a retrospective study) on the subject's past<br />

history. The disease state may refer to the presence or absence of a certa<strong>in</strong><br />

category of disease at a particular <strong>in</strong>stant, or to a certa<strong>in</strong> occurrence (such as<br />

diagnosis or death) dur<strong>in</strong>g a stated periodÐthat is, to prevalence and <strong>in</strong>cidence,<br />

respectively.<br />

For any such categorization the population may be enumerated <strong>in</strong> a 2 2<br />

table, as follows. The entries <strong>in</strong> the table are proportions of the total population.<br />

Factor<br />

Disease<br />

‡<br />

‡ P1 P3 P1 ‡ P3<br />

P2 P4 P2 ‡ P4<br />

P1 ‡ P2 P3 ‡ P4 1<br />

…19:14†<br />

If these proportions were known, the association between the factor and the<br />

disease could be measured by the ratio of the risks of be<strong>in</strong>g disease-positive for<br />

those with and those without the factor.<br />

Risk ratio ˆ<br />

P1<br />

…P1 ‡ P3†<br />

ˆ P1…P2 ‡ P4†<br />

P2…P1 ‡ P3† :<br />

P2<br />

…P2 ‡ P4†<br />

…19:15†<br />

Where the cases are <strong>in</strong>cident cases the risk ratio is the relative risk.<br />

Now, <strong>in</strong> many (although not all) situations <strong>in</strong> which aetiological studies are<br />

done, the proportion of subjects classified as disease-positive will be small. That<br />

is, P1 will be small <strong>in</strong> comparison with P3, and P2 will be small <strong>in</strong> comparison<br />

with P4. In such a case, (19.15) will be very nearly equal to

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