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

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Selection bias in cohort studies<br />

Selection bias is generally regarded as a greater d<strong>an</strong>ger in case-control th<strong>an</strong> in cohort studies. The<br />

reason is that in cohort studies the investigator generally knows how m<strong>an</strong>y <strong>an</strong>d which particip<strong>an</strong>ts<br />

were lost to follow-up, so that s/he c<strong>an</strong> assess the potential extent <strong>of</strong> bias. The investigator c<strong>an</strong> also<br />

<strong>of</strong>ten examine baseline characteristics <strong>of</strong> particip<strong>an</strong>ts who are lost to follow-up for indications that<br />

attrition is uniformly distributed <strong>an</strong>d therefore less likely to result in selection bias.<br />

Population cohort attrition<br />

There is, however, a type <strong>of</strong> attrition that affects both cohort <strong>an</strong>d case-control studies but which is<br />

unseen <strong>an</strong>d difficult to categorize. The problem relates to the representativeness <strong>of</strong> people eligible<br />

for study. For simplicity we explain the situation in relation to cohort studies, but since a casecontrol<br />

study is simply <strong>an</strong> efficient method for studying the same phenomena as a cohort study <strong>of</strong><br />

the study base, the problem is effectively the same in case-control studies.<br />

A cohort consists <strong>of</strong> people who are alive at a point or period in calendar time or in relation to some<br />

event they undergo (e.g., graduating from college, joining a workforce, undergoing a surgical<br />

procedure) <strong>an</strong>d then followed forward in time. The investigators' attention is for the most part<br />

directed at what happens after the cohort has been formed, but it is conceivable that mortality <strong>an</strong>d<br />

migration occurring before that point have influenced who is available to enroll <strong>an</strong>d thereby<br />

influenced what will be observed. If these early selection factors are related to <strong>an</strong> exposure under<br />

study they may diminish <strong>an</strong> observed effect.<br />

Some examples:<br />

If a cohort <strong>of</strong> HIV-infected persons is recruited by enrolling HIV seropositive persons<br />

identified through a serosurvey, those who have progressed to AIDS more quickly will<br />

be underrepresented as will persons involved in risk behaviors (e.g., injection drug use)<br />

that are associated with high mortality. Progression to AIDS in such a cohort will<br />

appear different th<strong>an</strong> what would be observed if people were recruited at the time <strong>of</strong><br />

initial HIV infection.<br />

A study <strong>of</strong> the effect <strong>of</strong> hypertension in a cohort <strong>of</strong> elderly particip<strong>an</strong>ts c<strong>an</strong>not enroll<br />

persons whose hypertension caused their death prior to the entr<strong>an</strong>ce age <strong>of</strong> the cohort.<br />

If those who died earlier had characteristics that made them more vulnerable to endorg<strong>an</strong><br />

damage from hypertension, then the cohort study may observe less morbidity <strong>an</strong>d<br />

mortality associated with hypertension th<strong>an</strong> would be observed if the study had enrolled<br />

<strong>you</strong>nger particip<strong>an</strong>ts.<br />

Even a cohort study in a population <strong>of</strong> newborns c<strong>an</strong> enroll only inf<strong>an</strong>ts from conceptions<br />

that result in a live birth. If environmental tobacco smoke (ETS) increases the rate <strong>of</strong><br />

early fetal losses, possibly undetected, there may be differences between the fetuses who<br />

die <strong>an</strong>d those who survive to birth. If fetuses who survive are more resist<strong>an</strong>t to harm<br />

_____________________________________________________________________________________________<br />

www.epidemiolog.net © Victor J. Schoenbach 2001 10. Sources <strong>of</strong> error - 305<br />

with Joellen Schildkraut <strong>an</strong>d Wayne Rosamond, rev. 5/11/2001, 5/16/2001

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