Literature DB >> 16303812

Selection bias and its implications for case-control studies: a case study of magnetic field exposure and childhood leukaemia.

Gabor Mezei1, Leeka Kheifets.   

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.

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Year:  2005        PMID: 16303812     DOI: 10.1093/ije/dyi245

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  21 in total

1.  Toenail trace element status and risk of Barrett's oesophagus and oesophageal adenocarcinoma: results from the FINBAR study.

Authors:  Michael A O'Rorke; Marie M Cantwell; Christian C Abnet; And John D Brockman; Liam J Murray
Journal:  Int J Cancer       Date:  2012-03-06       Impact factor: 7.396

2.  Indoor transformer stations and ELF magnetic field exposure: use of transformer structural characteristics to improve exposure assessment.

Authors:  Enembe Oku Okokon; Päivi Roivainen; Leeka Kheifets; Gabor Mezei; Jukka Juutilainen
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-09-11       Impact factor: 5.563

Review 3.  Residential traffic exposure and childhood leukemia: a systematic review and meta-analysis.

Authors:  Vickie L Boothe; Tegan K Boehmer; Arthur M Wendel; Fuyuen Y Yip
Journal:  Am J Prev Med       Date:  2014-04       Impact factor: 5.043

Review 4.  Sudden infant death syndrome.

Authors:  Carl E Hunt; Fern R Hauck
Journal:  CMAJ       Date:  2006-06-20       Impact factor: 8.262

5.  Potential role of selection bias in the association between childhood leukemia and residential magnetic fields exposure: a population-based assessment.

Authors:  Danna A Slusky; Monique Does; Catherine Metayer; Gabor Mezei; Steve Selvin; Patricia A Buffler
Journal:  Cancer Epidemiol       Date:  2014-03-26       Impact factor: 2.984

6.  Epidemiologic study of residential proximity to transmission lines and childhood cancer in California: description of design, epidemiologic methods and study population.

Authors:  Leeka Kheifets; Catherine M Crespi; Chris Hooper; Sona Oksuzyan; Myles Cockburn; Thomas Ly; Gabor Mezei
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-09-18       Impact factor: 5.563

Review 7.  Breast cancer and persistent organic pollutants (excluding DDT): a systematic literature review.

Authors:  Tafzila Akter Mouly; Leisa-Maree Leontjew Toms
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-15       Impact factor: 4.223

Review 8.  Probabilistic approaches to better quantifying the results of epidemiologic studies.

Authors:  Paul Gustafson; Lawrence C McCandless
Journal:  Int J Environ Res Public Health       Date:  2010-04-01       Impact factor: 3.390

9.  Pooled analysis of recent studies on magnetic fields and childhood leukaemia.

Authors:  L Kheifets; A Ahlbom; C M Crespi; G Draper; J Hagihara; R M Lowenthal; G Mezei; S Oksuzyan; J Schüz; J Swanson; A Tittarelli; M Vinceti; V Wunsch Filho
Journal:  Br J Cancer       Date:  2010-09-28       Impact factor: 7.640

10.  Selection bias modeling using observed data augmented with imputed record-level probabilities.

Authors:  Caroline A Thompson; Onyebuchi A Arah
Journal:  Ann Epidemiol       Date:  2014-08-12       Impact factor: 3.797

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