ArticlePloS one2018
Random measurement error: Why worry? An example of cardiovascular risk factors.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
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- Clinical relevance assessment of animal preclinical research (RAA) tool: development and explanation.PeerJ · 2021Trial
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- Associations between dietary fatty acids and kidney stones.Scientific reports · 2025Article
- One Avocado per Day as Part of Usual Intake Improves Diet Quality: Exploratory Results from a Randomized Controlled Trial.Current developments in nutrition · 2024Article
- Four-year longitudinal associations of physical activity, waist circumference, and blood pressure in UK adolescents.Pediatric research · 2024Article
- Exploring regression dilution bias using repeat measurements of 2858 variables in ≤49 000 UK Biobank participants.International journal of epidemiology · 2023Article
- Consumption and Breakfast Patterns in Children and Adolescents with Congenital Heart Disease.International journal of environmental research and public health · 2023Article
- Greater adherence to the 2019 Canada's Food Guide recommendations on healthy food choices reduces the risk of cardiovascular disease in adults: a prospective analysis of UK Biobank data.The American journal of clinical nutrition · 2022Article
- Assessment of plasma ceramides as predictor for subclinical atherosclerosis.Atherosclerosis plus · 2021Article
- Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework.International journal of epidemiology · 2021Article
- Short-Term Effects of Air Pollution on Cardiovascular Hospitalizations in the Pisan Longitudinal Study.International journal of environmental research and public health · 2021Article
- Novel Risk Factors for Progression of Diabetic and Nondiabetic CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021Observational
- Introduction to statistical simulations in health research.BMJ open · 2020Article
- Exploratory data analysis for pre and post 24/7/365 attending radiologist coverage support in an emergency department: fundamentals of data science.Emergency radiology · 2020Article
- Stochastic imputation for integrated transcriptome association analysis of a longitudinally measured trait.Statistical methods in medical research · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the increased use of data not originally recorded for research, such as routine care data (or 'big data'), measurement error is bound to become an increasingly relevant problem in medical research. A common view among medical researchers on the influence of random measurement error (i.e. classical measurement error) is that its presence leads to some degree of systematic underestimation of studied exposure-outcome relations (i.e. attenuation of the effect estimate). For the common situation where the analysis involves at least one exposure and one confounder, we demonstrate that the direction of effect of random measurement error on the estimated exposure-outcome relations can be difficult to anticipate. Using three example studies on cardiovascular risk factors, we illustrate that random measurement error in the exposure and/or confounder can lead to underestimation as well as overestimation of exposure-outcome relations. We therefore advise medical researchers to refrain from making claims about the direction of effect of measurement error in their manuscripts, unless the appropriate inferential tools are used to study or alleviate the impact of measurement error from the analysis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.