ArticleUpsala journal of medical sciences2012
Regression dilution bias: tools for correction methods and sample size calculation.
Article in Upsala journal of medical sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Correlation Constraints for Regression Models: Controlling Bias in Brain Age Prediction.Frontiers in psychiatry · 2021Article
- Reliability of Office, Home, and Ambulatory Blood Pressure Measurements and Correlation With Left Ventricular Mass.Journal of the American College of Cardiology · 2020Article
- Stochastic imputation for integrated transcriptome association analysis of a longitudinally measured trait.Statistical methods in medical research · 2020Article
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- The Prospective Association Between the Five Factor Personality Model With Health Behaviors and Health Behavior Clusters.Europe's journal of psychology · 2018Article
- Association of positive well-being with reduced cardiac repolarization abnormalities in the First National Health and Nutrition Examination Survey.International journal of cardiology · 2018Article
- Measurement Repeatability of Central and Peripheral Blood Pressures: The ARIC Study.American journal of hypertension · 2017Article
- Effects of Single and Multiple Blood Pressure Measurement Strategies on the Prediction of Prevalent Screen-Detected Diabetes Mellitus: A Population-Based Survey.Journal of clinical hypertension (Greenwich, Conn.) · 2016Article
- Underestimating the Effect of Lipids on Cardiovascular Events: Regression Dilution Bias in the Population-Based Cohort of Tehran Lipid and Glucose Study.International journal of endocrinology and metabolism · 2015Article
- Inflammation and oxidative stress markers and esophageal adenocarcinoma incidence in a Barrett's esophagus cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014Article
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Abstract
backgroundRandom errors in measurement of a risk factor will introduce downward bias of an estimated association to a disease or a disease marker. This phenomenon is called regression dilution bias. A bias correction may be made with data from a validity study or a reliability study. AIMS AND
methodsIn this article we give a non-technical description of designs of reliability studies with emphasis on selection of individuals for a repeated measurement, assumptions of measurement error models, and correction methods for the slope in a simple linear regression model where the dependent variable is a continuous variable. Also, we describe situations where correction for regression dilution bias is not appropriate.
resultsThe methods are illustrated with the association between insulin sensitivity measured with the euglycaemic insulin clamp technique and fasting insulin, where measurement of the latter variable carries noticeable random error. We provide software tools for estimation of a corrected slope in a simple linear regression model assuming data for a continuous dependent variable and a continuous risk factor from a main study and an additional measurement of the risk factor in a reliability study. Also, we supply programs for estimation of the number of individuals needed in the reliability study and for choice of its design.
conclusionsOur conclusion is that correction for regression dilution bias is seldom applied in epidemiological studies. This may cause important effects of risk factors with large measurement errors to be neglected.
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