ArticleAmerican journal of epidemiology2016
A Simulation Platform for Quantifying Survival Bias: An Application to Research on Determinants of Cognitive Decline.
Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.
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Who cites it
53 citing papers in PubMed, 2 syntheses or guidelines pooled it.
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- Loneliness, social isolation, and living alone: a comprehensive systematic review, meta-analysis, and meta-regression of mortality risks in older adults.Aging clinical and experimental research · 2025Pooled it
- Nonrandom Selection With and Without Bias Due to Selecting on an Exposure.Epidemiology (Cambridge, Mass.) · 2026Article
- Modeling Temporal Relationships Between Multivariate Repeated Markers Along With Clinical Endpoints: Application to Alzheimer's Disease and Related Dementias.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Associations Between High-Density Lipoprotein Subfraction Profiles and Heart Rate Response Following Submaximal Exercise.Biology · 2026Article
- Exploring the association between higher education and steeper cognitive decline in a nationally representative longitudinal study in India.American journal of epidemiology · 2026Article
- CausalKnowledgeTrace: A Novel Computational Framework for Automated Literature-Based Causal Graph Construction and Evidence-Based Variable Selection in Biomedical Research.bioRxiv : the preprint server for biology · 2026Article
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- Immunological drivers and potential novel drug targets for major psychiatric, neurodevelopmental, and neurodegenerative conditions.Molecular psychiatry · 2025Article
- Evidence triangulation in health research.European journal of epidemiology · 2025Article
- Collider Bias Is an Insufficient Explanation for the Inverse Obesity Paradox in Prostate Cancer.Cancer medicine · 2025Article
- Common methodological issues in observational epidemiological studies of older adults.BMJ medicine · 2025Article
- Integrating causal human genetics andFrontiers in molecular biosciences · 2025Article
- Characterizing brain tau and cognitive decline along the amyloid timeline in Alzheimer's disease.Brain : a journal of neurology · 2024Article
- Socioeconomic Status Transition Throughout Life and Risk of Dementia.JAMA network open · 2024Article
- Functional aging trajectories of older cancer survivors: a latent growth analysis of the US Health and Retirement Study.Journal of cancer survivorship : research and practice · 2023Article
- Generational and Social Forces in the Life Events and Experiences of Lesbian and Gay Midlife and Older Adults Across the Iridescent Life Course.Journal of aging and health · 2023Article
- Attrition in the Gothenburg H70 birth cohort studies, an 18-year follow-up of the 1930 cohort.Frontiers in epidemiology · 2023Article
- Associations between circulating cardiovascular disease risk factors and cognitive performance in cognitively healthy older adults from the NuAge study.Frontiers in aging neuroscience · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Bias due to selective mortality is a potential concern in many studies and is especially relevant in cognitive aging research because cognitive impairment strongly predicts subsequent mortality. Biased estimation of the effect of an exposure on rate of cognitive decline can occur when mortality is a common effect of exposure and an unmeasured determinant of cognitive decline and in similar settings. This potential is often represented as collider-stratification bias in directed acyclic graphs, but it is difficult to anticipate the magnitude of bias. In this paper, we present a flexible simulation platform with which to quantify the expected bias in longitudinal studies of determinants of cognitive decline. We evaluated potential survival bias in naive analyses under several selective survival scenarios, assuming that exposure had no effect on cognitive decline for anyone in the population. Compared with the situation with no collider bias, the magnitude of bias was higher when exposure and an unmeasured determinant of cognitive decline interacted on the hazard ratio scale to influence mortality or when both exposure and rate of cognitive decline influenced mortality. Bias was, as expected, larger in high-mortality situations. This simulation platform provides a flexible tool for evaluating biases in studies with high mortality, as is common in cognitive aging research.
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