ArticleStatistics in medicine2020
STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-More complex methods of adjustment and advanced topics.
Article in Statistics in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Healthy Eating Index Diet Quality in Randomized Weight Loss Trials: A Systematic Review.Journal of the Academy of Nutrition and Dietetics · 2023Pooled it
- Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.JAMA network open · 2023Trial
- Methods for Adjusting for Covariate Measurement Error in Flexible Modeling of Functional Form: Designing a Blinded, Controlled Neutral Comparison Simulation Study.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Identifying and mitigating bias in multiple aspects of modern clinical research.Communications medicine · 2026Review
- Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling.Journal of magnetic resonance imaging : JMRI · 2026Article
- Impact of Missing Data and Monitoring Duration on Downstream Analyses in Continuous Glucose Monitoring.Diabetes care · 2026Article
- Seasonal Variation of Plaque Psoriasis in Relation to Individualized MED-Adjusted Ultraviolet Exposure: A Cross-Sectional Study in Poland.Journal of clinical medicine · 2026Article
- Causal Covariate Selection for the Regression Calibration Method for Exposure Measurement Error Bias Correction.Statistics in medicine · 2026Article
- Analysis approaches to combine error-prone data with a subset of validated data: an application to a multinational study of Kaposi sarcoma and HIV.American journal of epidemiology · 2026Article
- Improving the design of epidemiology studies that use biomonitoring for exposure assessment: a SciPinion panel recommendation.BMC medical research methodology · 2026Article
- Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome.Journal of the Royal Statistical Society. Series C, Applied statistics · 2025Article
- Simulated Impact of Vitamin A-Fortified Sugar on Dietary Adequacy and Association of Usual Sugar Intake With Plasma and Breast Milk Retinol Among Lactating Zambian Women.Maternal & child nutrition · 2025Article
- Incidence and risk factors of monozygotic twinning following ART: analysis of 154 671 live births resulting from single embryo transfer.Human reproduction (Oxford, England) · 2025Article
- Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example.Statistics in medicine · 2025Article
- Survey of practices of handling exposure measurement errors in modern epidemiology: are the best practices in statistics being adopted by epidemiologists?BMC medical research methodology · 2025Article
- Quantitative bias analysis for mismeasured variables in health research: a review of software tools.BMC medical research methodology · 2025Review
- Ascertainment Conditional Maximum Likelihood for Continuous Outcome Under Two-Phase Response-Selective Design.Statistics in medicine · 2025Article
- A minimal nontrivial example of higher-order evidence.American journal of epidemiology · 2025Article
- Combining Straight-Line and Map-Based Distances to Investigate the Connection Between Proximity to Healthy Foods and Disease.Statistics in medicine · 2025Article
- Should regression calibration or multiple imputation be used when calibrating different devices in a longitudinal study?American journal of epidemiology · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
We continue our review of issues related to measurement error and misclassification in epidemiology. We further describe methods of adjusting for biased estimation caused by measurement error in continuous covariates, covering likelihood methods, Bayesian methods, moment reconstruction, moment-adjusted imputation, and multiple imputation. We then describe which methods can also be used with misclassification of categorical covariates. Methods of adjusting estimation of distributions of continuous variables for measurement error are then reviewed. Illustrative examples are provided throughout these sections. We provide lists of available software for implementing these methods and also provide the code for implementing our examples in the Supporting Information. Next, we present several advanced topics, including data subject to both classical and Berkson error, modeling continuous exposures with measurement error, and categorical exposures with misclassification in the same model, variable selection when some of the variables are measured with error, adjusting analyses or design for error in an outcome variable, and categorizing continuous variables measured with error. Finally, we provide some advice for the often met situations where variables are known to be measured with substantial error, but there is only an external reference standard or partial (or no) information about the type or magnitude of the error.
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