@article{ref1,
title="What characterises a useful concept of causation in epidemiology?",
journal="Journal of epidemiology and community health",
year="2003",
author="Olsen, J.",
volume="57",
number="2",
pages="86-88",
abstract="It has recently been suggested that epidemiologists should avoid thinking of causes in deterministic terms. This would mean giving up the component-cause model in its original form. A model that has provided important contributions as to how we develop hypotheses, design our study, analyse data, interpret and communicate our results. The component-cause model has considerably more to offer than a simple probabilistic concept. What a causal model has to offer to the advancement of the discipline is equally important as the concept itself. It has been said that we should not hunt &quot;the Holy Grail&quot; (that is, determinism), if it does not exist. This line of reasoning neglects the fact that the &quot;hunting&quot; is more important than the &quot;finding&quot;.<p /> <p>Language: en</p>",
language="en",
issn="0143-005X",
doi="",
url="http://dx.doi.org/"
}