The making of an epidemiological theory of bias and confounding We have chosen to discuss the history of epidemiology, as the history of the emergence and formalisation of its methods. In this issue and the following, Vineis (2002) and Vandenbroucke (2002) will be looking into the history of bias and confounding in epidemiology. These authors demonstrate convincingly how much epidemiology has borrowed from the social sciences and adapted methods and concepts to its own needs. We would like to point to the fact that these developments have often occurred while trying to solve particular prob-lems. In particular the controversy for the recognition of the harmful effects of tobacco on health has been an important crucible for the concept of co...
Abstract This editorial introduces the new online, open-access, peer-reviewed journal, Epidemiologic...
The goal of this article is to present a snapshot of an ongoing debate within epidemiology, pitching...
Confounding bias is a most pervasive threat to validity of observational epidemiologic research. We ...
Bias and confounding are the twin banes of epidemiology,but of the 2, bias is worse. Confounding can...
To the clinical specialists, epidemiology appears to be a hyphenated word associated with their clin...
Epidemiology has seen many theoretical advances over the past 20 years. Since the advances of one pe...
Misconceptions and ill-founded theories can arise in all areas of science. However, the apparent acc...
Social epidemiology, disguised in other forms and known by other names, has been with us for decades...
In health intervention research, epidemiologists and economists are more and more interested in esti...
Epidemiology is the study of the causes and distributions of diseases in human populations so that w...
Abstract Scientific literature may be biased because of the internal validity of studies being compr...
Confounding from smoking in occupational epidemiology The recognition of smoking as a cause of lung ...
“Is social epidemiology at risk of losing its identity as a distinct specialty? ” is the question po...
This article closes the series of contributions on the history of epidemiologic methods and concepts...
Lewis Kuller on "circular epidemiology, " which he defined as "the continua-tion of s...
Abstract This editorial introduces the new online, open-access, peer-reviewed journal, Epidemiologic...
The goal of this article is to present a snapshot of an ongoing debate within epidemiology, pitching...
Confounding bias is a most pervasive threat to validity of observational epidemiologic research. We ...
Bias and confounding are the twin banes of epidemiology,but of the 2, bias is worse. Confounding can...
To the clinical specialists, epidemiology appears to be a hyphenated word associated with their clin...
Epidemiology has seen many theoretical advances over the past 20 years. Since the advances of one pe...
Misconceptions and ill-founded theories can arise in all areas of science. However, the apparent acc...
Social epidemiology, disguised in other forms and known by other names, has been with us for decades...
In health intervention research, epidemiologists and economists are more and more interested in esti...
Epidemiology is the study of the causes and distributions of diseases in human populations so that w...
Abstract Scientific literature may be biased because of the internal validity of studies being compr...
Confounding from smoking in occupational epidemiology The recognition of smoking as a cause of lung ...
“Is social epidemiology at risk of losing its identity as a distinct specialty? ” is the question po...
This article closes the series of contributions on the history of epidemiologic methods and concepts...
Lewis Kuller on "circular epidemiology, " which he defined as "the continua-tion of s...
Abstract This editorial introduces the new online, open-access, peer-reviewed journal, Epidemiologic...
The goal of this article is to present a snapshot of an ongoing debate within epidemiology, pitching...
Confounding bias is a most pervasive threat to validity of observational epidemiologic research. We ...