ArticleAmerican journal of epidemiology2017
Assessing the Potential for Bias From Nonresponse to a Study Follow-up Interview: An Example From the Agricultural Health Study.
Article in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Decline in Work Ability over Time and Its Association with Physical Performance Among Senior Workers: A Prospective Cohort Study.International journal of environmental research and public health · 2026Article
- Assessing nonresponse bias in a 30-year study of gulf war and gulf era veterans.BMC medical research methodology · 2026Article
- Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions.Journal of medical Internet research · 2025Article
- Occupational exposure and new-onset asthma in the population-based Telemark study: a 5-year follow-up.BMJ open · 2024Article
- Associations of Dental Health With the Progression of Hippocampal Atrophy in Community-Dwelling Individuals: The Ohasama Study.Neurology · 2023Article
- Loss to 5-year follow-up in the population-based Telemark Study: risk factors and potential for bias.BMJ open · 2023Article
- Completeness of cohort-linked U.S. Medicare data: An example from the Agricultural Health Study (1999-2016).Preventive medicine reports · 2022Article
- Animal production, insecticide use and self-reported symptoms and diagnoses of COPD, including chronic bronchitis, in the Agricultural Health Study.Environment international · 2019Article
- Farming tasks and the development of rheumatoid arthritis in the agricultural health study.Occupational and environmental medicine · 2019Article
- Pre-Pregnancy Weight and Symptoms of Attention Deficit Hyperactivity Disorder and Executive Functioning Behaviors in Preschool Children.International journal of environmental research and public health · 2019Article
- Comorbidity amplifies the effects of post-9/11 posttraumatic stress disorder trajectories on health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Article
- Pesticide Use and Age-Related Macular Degeneration in the Agricultural Health Study.Environmental health perspectives · 2017Article
- Pesticide Exposure and Risk of Rheumatoid Arthritis among Licensed Male Pesticide Applicators in the Agricultural Health Study.Environmental health perspectives · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Prospective cohort studies are important tools for identifying causes of disease. However, these studies are susceptible to attrition. When information collected after enrollment is through interview or exam, attrition leads to missing information for nonrespondents. The Agricultural Health Study enrolled 52,394 farmers in 1993-1997 and collected additional information during subsequent interviews. Forty-six percent of enrolled farmers responded to the 2005-2010 interview; 7% of farmers died prior to the interview. We examined whether response was related to attributes measured at enrollment. To characterize potential bias from attrition, we evaluated differences in associations between smoking and incidence of 3 cancer types between the enrolled cohort and the subcohort of 2005-2010 respondents, using cancer registry information. In the subcohort we evaluated the ability of inverse probability weighting (IPW) to reduce bias. Response was related to age, state, race/ethnicity, education, marital status, smoking, and alcohol consumption. When exposure and outcome were associated and case response was differential by exposure, some bias was observed; IPW conditional on exposure and covariates failed to correct estimates. When response was nondifferential, subcohort and full-cohort estimates were similar, making IPW unnecessary. This example provides a demonstration of investigating the influence of attrition in cohort studies using information that has been self-reported after enrollment.
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