Selection effects in cohort studies occur when the population observed over
time differs from the target population due to the inclusion or follow-up
of the subjects. Selection effects may bias the estimation of the frequency
of the disease and of the exposure of interest, or the estimation of the a
ssociation between disease and exposure. In industrial cohorts, where subje
cts are not volunteers, the reasons why they were hired and they stay worki
ng in a com any are often linked with lifestyle factors or health problems
that can be associated with the diseases or the exposures of interest. This
phenomenon is known as the "healthy worker effect". When the cohort includ
es volunteers, other selection effects associated with the reasons why the
individuals participate in the study and stay in the cohort may occur. The
time course of both exposure of interest and health status during follow-up
may also be associated with the probability of staying in the cohort. We d
escribe the main components of the various selection effects associated wit
h inclusion of the subjects at baseline, with their follow-up during the ob
servation of the cohort, and we examine the main components of the selectio
n effects and their consequences.