Bias in occupational epidemiology studies.
The design of occupational epidemiology studies should be based on the need to minimise random and systematic error. The latter is the focus of this paper, and includes selection bias, information bias and confounding. Selection bias can be minimised by obtaining a high response rate (and by appropriate selection of the control group in a case-control study). In general, it is important to ensure that information bias is minimised and is also non-differential (for example, that the misclassification of exposure is not related to disease status) by collecting data in a standardised manner. A major concern in occupational epidemiology studies usually relates to confounding, because exposure has not been randomly allocated, and the groups under study may therefore have different baseline disease risks. For each of these types of bias, the goal should be to avoid the bias by appropriate study design and/or appropriate control in the analysis. However, it is also important to attempt to assess the likely direction and strength of biases that cannot be avoided or controlled.
Pearce
Neil
N
Centre for Public Health Research, Massey University Wellington Campus, Wellington, New Zealand. n.e.pearce@massey.ac.nz
Checkoway
Harvey
H
Kriebel
David
D
D015982:Bias; D015986:Confounding Factors, Epidemiologic; D003625:Data Collection; D016021:Epidemiologic Studies; D015989:Healthy Worker Effect; D006801:Humans; D009026:Mortality; D009784:Occupational Diseases / Q000145:classification / Q000453:epidemiology*; D016272:Occupational Health / Q000706:statistics & numerical data*; D018570:Risk Assessment / Q000592:standards