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

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∑ rai nai<br />

ra ∑nai<br />

Crude rate for A = ———— = ——— = ra<br />

_____________________________________________________________________________________________<br />

www.epidemiolog.net St<strong>an</strong>dardization - Assignment solutions - 159<br />

rev. 12/22/1999, 8/1/2000<br />

nt<br />

So the directly st<strong>an</strong>dardized rate equals the crude rate (equals the stratum-specific rates).<br />

The same c<strong>an</strong> be shown, in a identical m<strong>an</strong>ner, for B. Therefore the ratio <strong>of</strong> directlyst<strong>an</strong>dardized<br />

rates equals the ratio <strong>of</strong> crude rates.<br />

Moral: if there is no variation in <strong>you</strong>r stratum-specific rates, <strong>you</strong> don't need to adjust--the<br />

crude is fine.<br />

c. This question asks about the situation in which there is a const<strong>an</strong>t rate ratio between groups<br />

A <strong>an</strong>d B within each age stratum. Since the SMR is calculated using the rates in the st<strong>an</strong>dard<br />

population (in this case, r bi ) for the denominator (the "expected" deaths), that denominator<br />

will be 1/K times the observed deaths, since the rates from the st<strong>an</strong>dard population are 1/K<br />

times the rates observed in the study population.<br />

Using the formulas on pages 4 <strong>an</strong>d 8:<br />

SMR =<br />

Observed deaths<br />

——————— =<br />

∑ (rainai)<br />

————— =<br />

∑ (rainai)<br />

———————<br />

Expected deaths ∑ (rbinai)<br />

∑ (rainai)<br />

= ——————— = K<br />

1<br />

— ∑ (rainai)<br />

K<br />

nt<br />

rai ∑ ( ) nai<br />

K<br />

This exercise illustrates the underlying rationale for the SMR, i.e., in a situation in which there<br />

are too few data to make me<strong>an</strong>ingful judgments about specific rates, we assume that each is a<br />

const<strong>an</strong>t multiple <strong>of</strong> the specific rates in a st<strong>an</strong>dard population <strong>an</strong>d then estimate that<br />

const<strong>an</strong>t multiple with the SMR. The assumption <strong>of</strong> a const<strong>an</strong>t multiple may not hold in<br />

reality, but it may be reasonably correct with study group we are examining. In <strong>an</strong>y case it is<br />

the best we c<strong>an</strong> do given the limited amount <strong>of</strong> data.<br />

d. Intuitively, if two populations are alike in terms <strong>of</strong> a particular variable, then that variable<br />

c<strong>an</strong>not be responsible for observed differences between them.<br />

Directly st<strong>an</strong>dardized rates are comparable, regardless <strong>of</strong> age distributions, because the<br />

specific rates in each population are weighted by the same external st<strong>an</strong>dard.

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