ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2012
Selection bias in population-based cancer case-control studies due to incomplete sampling frame coverage.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- The impact of interleukin-10 (IL-10) gene 4 polymorphisms on peripheral blood IL-10 variation and prostate cancer risk based on published studies.Oncotarget · 2017Pooled it
- Radiation-specific sexual and reproductive health challenges in adolescent and young adults assigned female at birth: a mixed-methods study of unmet needs post pelvic radiotherapy.Gynecologic oncology reports · 2026Article
- Selection Bias in Real-World Data Studies Used to Support Health Technology Assessments: A Case Study in Metastatic Cancer.Current oncology (Toronto, Ont.) · 2023Article
- Article
- Administration of oral fluoroquinolone and the risk of rhegmatogenous retinal detachment: A nationwide population-based study in Korea.PloS one · 2018Article
- [Systematic errors in clinical studies : A comprehensive survey].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2017Review
- [Systematic errors in clinical studies : A comprehensive survey].Zeitschrift fur Rheumatologie · 2017Review
- Using propensity scores to reduce case-control selection bias.Epidemiology (Cambridge, Mass.) · 2012Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundIncreasing numbers of individuals are choosing to opt out of population-based sampling frames due to privacy concerns. This is especially a problem in the selection of controls for case-control studies, as the cases often arise from relatively complete population-based registries, whereas control selection requires a sampling frame. If opt out is also related to risk factors, bias can arise.
methodsWe linked breast cancer cases who reported having a valid driver's license from the 2004-2008 Wisconsin women's health study (N = 2,988) with a master list of licensed drivers from the Wisconsin Department of Transportation (WDOT). This master list excludes Wisconsin drivers that requested their information not be sold by the state. Multivariate-adjusted selection probability ratios (SPR) were calculated to estimate potential bias when using this driver's license sampling frame to select controls.
resultsA total of 962 cases (32%) had opted out of the WDOT sampling frame. Cases age <40 (SPR = 0.90), income either unreported (SPR = 0.89) or greater than $50,000 (SPR = 0.94), lower parity (SPR = 0.96 per one-child decrease), and hormone use (SPR = 0.93) were significantly less likely to be covered by the WDOT sampling frame (α = 0.05 level).
conclusionsOur results indicate the potential for selection bias due to differential opt out between various demographic and behavioral subgroups of controls. As selection bias may differ by exposure and study base, the assessment of potential bias needs to be ongoing. IMPACT: SPRs can be used to predict the direction of bias when cases and controls stem from different sampling frames in population-based case-control studies.
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