title: Selection bias and its implications for case-control studies: a case study of magnetic field exposure and childhood leukaemia.
abstract: Based on the epidemiological association between residential exposure to extremely low frequency-magnetic fields (ELF-MF) and childhood leukaemia, the International Agency for Research on Cancer classified ELF-MF as a possible human carcinogen. Since clear supportive laboratory evidence is lacking and biophysical plausibility of carcinogenicity of MFs is questioned, a causal relationship between childhood leukaemia and magnetic field exposure is not established. Among the alternative explanations, selection bias in epidemiological studies of MFs seems to be the most plausible hypothesis. In reviewing the epidemiological literature on ELF-MF exposure and childhood leukaemia, we found evidence both for and against the existence of selection bias. To evaluate the potential for selection bias, we examined the relationship of socioeconomic status to subject participation and exposure to MFs. We find that, often, reporting of selection processes in itself is biased and incomplete, making the interpretation and evaluation of a potential for bias difficult. However, if present, such a bias would have wide implications for case-control studies in general. We call for better reporting and for evaluation of the potential for selection bias in all case-control studies, as well as, for the development of novel methods in control selection and recruitment.
authors.affiliation: Environment Department, Electric Power Research Institute, Palo Alto, CA 94303, USA. gmezei@epri.com
authors.forename: Gabor
authors.initials: G
authors.lastname: Mezei
authors.forename: Leeka
authors.initials: L
authors.lastname: Kheifets
mesh_terms: D016022:Case-Control Studies; D002648:Child; D004574:Electromagnetic Fields / Q000009:adverse effects*; D004781:Environmental Exposure / Q000009:adverse effects / Q000032:analysis; D006801:Humans; D007953:Leukemia, Radiation-Induced / Q000453:epidemiology / Q000209:etiology*; D018579:Patient Selection; D015983:Selection Bias; D012923:Social Class