Document Detail

Quantifying the impact of selection bias caused by nonparticipation in a case-control study of mobile phone use.
MedLine Citation:
PMID:  19064187     Owner:  NLM     Status:  MEDLINE    
PURPOSE: To quantitatively assess the impact of selection bias caused by nonparticipation in a multinational case-control study of mobile phone use and brain tumor. METHODS: Non-response questionnaires (NRQ) were completed by a sub-set of nonparticipants. Selection bias factors were calculated based on the prevalence of mobile phone use reported by nonparticipants with NRQ data, and on scenarios of hypothetical exposure prevalence for other nonparticipants. RESULTS: Regular mobile phone use was reported less frequently by controls and cases who completed the NRQ (controls, 56%; cases, 50%) than by those who completed the full interview (controls, 69%; cases, 66%). This relationship was consistent across study centers, sex, and age groups. Lower education and more recent start of mobile phone use were associated with refusal to participate. Bias factors varied between 0.87 and 0.92 in the most plausible scenarios. CONCLUSIONS: Refusal to participate in brain tumor case-control studies seems to be related to less prevalent use of mobile phones, and this could result in a downward bias of around 10% in odds ratios for regular mobile phone use. The use of simple selection bias estimation methods in case-control studies can give important insights into the extent of any bias, even when nonparticipant information is incomplete.
Martine Vrijheid; Lesley Richardson; Bruce K Armstrong; Anssi Auvinen; Gabriele Berg; Matthew Carroll; Angela Chetrit; Isabelle Deltour; Maria Feychting; Graham G Giles; Martine Hours; Ivano Iavarone; Susanna Lagorio; Stefan Lönn; Mary McBride; Marie-Elise Parent; Siegal Sadetzki; Tina Salminen; Marie Sanchez; Birgitte Schlehofer; Joachim Schüz; Jack Siemiatycki; Tore Tynes; Alistair Woodward; Naohito Yamaguchi; Elisabeth Cardis
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Publication Detail:
Type:  Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Annals of epidemiology     Volume:  19     ISSN:  1873-2585     ISO Abbreviation:  Ann Epidemiol     Publication Date:  2009 Jan 
Date Detail:
Created Date:  2008-12-09     Completed Date:  2009-02-25     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100013     Medline TA:  Ann Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  33-41     Citation Subset:  IM    
International Agency for Research on Cancer, Lyon, France.
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MeSH Terms
Age Factors
Brain Neoplasms / epidemiology*,  etiology*
Case-Control Studies
Cellular Phone / statistics & numerical data*
Educational Status
Middle Aged
Selection Bias
Sex Factors

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