.../funder_policies/chorus/standard_publication_model ) ABSTRACT Confounding and exposure measurement error can introduce bias when drawing inference about the marginal effect of an exposure on an outcome of interest. While there are broad methodologies for addressing each source of bias individually, confounding...

... Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract In real-world studies, the collected confounders may suffer from measurement error. Although mismeasurement of confounders is typically unintentional (originating from sources such as human oversight...

... weakens our analyses but also risks selecting inaccurate models, generating false precision in parameter estimates, and creating artificial patterns. Furthermore, the complexity of uncertainty extends beyond traditional “measurement error,” encompassing various sources of variance. To address this, we...

... play an important role in disease transmission or behavior change, correcting ASpE estimates for bias due to network misclassification is critical for accurately evaluating the full impact of interventions. We combined measurement error and causal inference methods to bias-correct the ASpE estimate...

...Qian Ye; Lang Wu; Viviane Dias Lima H-likelihood joint model measurement error robust Mixed effects models are widely used in longitudinal data analysis, especially when large variations exist between individuals. In practice, many longitudinal data also exhibit large variations among...

.../chorus/standard_publication_model ) Abstract Time-use statistics are recall intensive and sensitive to measurement error. This study uses a nationally representative time-use survey from India to investigate how self and proxy reporting impacts the reported time spent on various activities by men...

... contact journals.permissions@oup.com. 2025 This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract We investigate the impact of exposure measurement error...

... the association between different phenotypes. However, measurement error in polygenic risk score causes attenuation bias in the estimation of regression coefficients. In this paper, we employ a Bayesian approach to accounting for the measurement error of polygenic risk score and correcting the attenuation bias...

... mixed model measurement error multivariate functional principal component Schizophrenia EEG data variance component testing Beijing Natural Science Foundation 10.13039/501100004826 1242005 Central Universities, China in UIBE Our motivation stems from a Schizophrenia study conducted...

... the original work is properly cited. ABSTRACT Motivated by the challenges in analyzing gut microbiome and metagenomic data, this work aims to tackle the issue of measurement errors in high-dimensional regression models that involve compositional covariates. This paper marks a pioneering effort in conducting...

... methodology improves evidence based on data obtained from re-use of existing databases, which may prove critical for regulatory and public health decisions. measurement error validity indices bootstrap test non-differential sensitivity adjustment for misclassification ORIGINAL UNEDITED MANUSCRIPT American...

.... However, with notable exceptions, ¹⁸ there are fewer accessible guides to mapping information bias onto causal structures. This gap presents an opportunity to strengthen the conceptual mapping between the foundational epidemiology concepts of measurement error and information bias...

..., and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com Summary Accounting for exposure measurement errors has been recognized as a crucial problem in environmental epidemiology for over two decades. Bayesian hierarchical...

...; Unmeasured Confounding; Generalized Linear Model; Measurement Error Acknowledgments2: N/A Funding: NIH grants: R01AI127271; R01AG065276; R01GM139926. PI: Tchetgen Tchetgen, Eric Joel Conflict of Interest: N/A Disclaimer: N/A Data Availability Statement: N/A 1 N/A indicates not applicable. 2 Study...

... trait because the source of phenotyping error is different. In other words, BW is controlled by the same set of causal loci, but by different phenotyping errors, and thus has different heritabilities. Previous research has shown that trait measurement error, defined as the difference between manually...

... for reporting measurement error, integrate multiple candidate serial interval estimates, and estimate transmission with an autoregressive time-series model incorporating factors relevant to transmission. Additionally, we provide practical tools to identify reporting patterns and determine when to smooth case...

.../standard-publication-reuse-rights ) Abstract Higher-order evidence (ie, evidence about evidence) allows epidemiologists and other health data scientists to account for measurement error in validation data. Here, to illustrate the use of higher-order evidence, we provide a minimal nontrivial example...

... ] = σ W 2 . It is usually further assumed that ξ i ∼ N ( 0 , σ W 2 ) , but the Normality of the measurement error is not a critical assumption to the model. This same specification can be formulated for the variable on the log-scale to induce multiplicative rather than additive...

... contact journals.permissions@oup.com. 2024 This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract In linear regression models, measurement error...

... research, including contextualizing residential history data with determinants of residential moves, triangulating spatial exposure assessment methods, and transparently quantifying measurement error. measurement error selection migration spatial exposures life course disparities exposure assessment...