Sentence examples for measurement error structure from inspiring English sources

A property of chromatography-based metabolomics data is that the measurement error structure is complex: apart from the usual (random) instrumental error there is also correlated measurement error.

The primary goal of the study was to describe the measurement error structure of an FFQ and 24HRs.

Despite this, when designing studies where covariates are anticipated to contain measurement error, it is important not only to estimate the measurement error variance of the exposure, but also the measurement error structure of potential confounders.

Although formal hypothesis tests provide a convenient framework for displaying the statistical results of empirical comparisons, standard tests should not be used without consideration of underlying measurement error structure.

Kipnis et al. (2002), in a study aimed to evaluate measurement error structure in dietary assessment instruments using urinary nitrogen excretion as a reference biomarker for protein intake, showed overestimation (up to 230%) and underestimation (up to 240%) of FFQ.

Regression calibration (Rosner 2010) can be used to correct AORs to account for a simple exposure measurement error structure, but would have to be adapted for use with complex simulations such as our setting.

The results obtained by both methods are compared with the results obtained by MLPARAFAC, which is a method designed to optimally accomodate a variety of measurement error structures.

Although we edited and analyzed all data extensively and used a quality assessment audit, differing measurement error structures across the three sets of data remains a possible source of heterogeneity.

Overall, these methods suggest that air pollution studies are subject to complex measurement error structures, and that it is likely a variety of methods are needed to appropriately adjust the large number of study types.

Moreover, as was pointed out by Guolo et al. [ 8], the likelihood-based methods, such as Bayesian and maximum-likelihood methods, perform well under different measurement error structures, can provide accurate inferential results, and outperform other corrections techniques (regression calibration and SIMEX).

Consequently, the aim of this study was to cross-culturally adapt the SFI for Turkish-speaking patients (SFI-Tk) and to determine the psychometric properties of validity, reliability, internal consistency, measurement error and factor structure in patients with spine musculoskeletal problems that affected any or all of the regions of the neck, back and/or low back.