Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology

Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology

<p>Background: Several statistical approaches have been proposed to assess and correct for exposure measurement error. We aimed to provide a critical overview of the most common approaches used in nutritional epidemiology.</p> <p>Methods: MEDLINE, EMBASE, BIOSIS and CINAHL were sea...

Descripció completa

Dades bibliogràfiques
Autors principals:	Bennett, D, Landry, D, Little, J, Minelli, C
Format:	Journal article
Publicat:	BioMed Central 2017

Ítems similars

Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology
per: Derrick A. Bennett, et al.
Publicat: (2017-09-01)

Study protocol: the empirical investigation of methods to correct for measurement error in biobanks with dietary assessment.
per: Bennett, D, et al.
Publicat: (2011)

Study protocol: the empirical investigation of methods to correct for measurement error in biobanks with dietary assessment
per: Masson Lindsey F, et al.
Publicat: (2011-10-01)

Fundamental statistical and epidemiological concepts
per: Bennett, D, et al.
Publicat: (2007)

The Design of Global Correlation Quantifiers and Continuous Notions of Statistical Sufficiency
per: Carrara, Nicholas, et al.
Publicat: (2020)

The Design of Global Correlation Quantifiers and Continuous Notions of Statistical Sufficiency
per: Nicholas Carrara, et al.
Publicat: (2020-03-01)

Quantifying sequencing error and effective sequencing depth of liquid biopsy NGS with UMI error correction
per: Malene Støchkel Frank, et al.
Publicat: (2021-04-01)

Impact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies
per: Waller Lance A, et al.
Publicat: (2011-06-01)

Measurement-based estimator scheme for continuous quantum error correction
per: Sangkha Borah, et al.
Publicat: (2022-09-01)

Experimental demonstration of continuous quantum error correction
per: William P. Livingston, et al.
Publicat: (2022-04-01)

Some Progress on Quantum Error Correction for Discrete and Continuous Error Models
per: Jincao Li
Publicat: (2020-01-01)

Quantifying geocode location error using GIS methods
per: Gardner Bennett R, et al.
Publicat: (2007-04-01)

Errors in quantum tomography: diagnosing systematic versus statistical errors
per: Nathan K Langford
Publicat: (2013-01-01)

Nutritional epidemiology methods and related statistical challenges and opportunities
per: Ross L. Prentice, et al.
Publicat: (2018-01-01)

Software for Quantifying and Simulating Microsatellite Genotyping Error
per: Paul C.D. Johnson, et al.
Publicat: (2007-01-01)

Systematic review of the epidemiological evidence of associations between quantified occupational exposure to respirable crystalline silica and the risk of silicosis and lung cancer
per: Kenneth A. Mundt, et al.
Publicat: (2025-02-01)

Error in statistical tests of error in statistical tests
per: Jeng Monwhea
Publicat: (2006-09-01)

Correcting for multivariate measurement error by regression calibration in meta-analyses of epidemiological studies.
per: Fibrinogen Studies Collaboration
Publicat: (2009)

Bayesian adjustment for measurement error in continuous exposures in an individually matched case-control study
per: Burstyn Igor, et al.
Publicat: (2011-05-01)

Machine learning for continuous quantum error correction on superconducting qubits
per: Ian Convy, et al.
Publicat: (2022-01-01)

Distributed quantum sensing enhanced by continuous-variable error correction
per: Quntao Zhuang, et al.
Publicat: (2020-01-01)

Quantifying the Measurement Error on England and Wales EPC Ratings
per: Jenny Crawley, et al.
Publicat: (2019-09-01)

Anthropometric measurement error and the assessment of nutritional status
per: Ulijaszek, S, et al.
Publicat: (1999)

Quantifying the Location Error of Precipitation Nowcasts
per: Arthur Costa Tomaz de Souza, et al.
Publicat: (2020-01-01)

Quantifying errors without random sampling
per: LaPole Luwanna M, et al.
Publicat: (2003-06-01)

Statistical analysis of measurement errors /
per: 330193 Jaech, John L.
Publicat: (1985)

Publisher Correction: An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
per: Marco Castagna, et al.
Publicat: (2021-06-01)

Response to discussion of ‘Nutritional epidemiology methods and related statistical challenges and opportunities’
per: Ross L. Prentice, et al.
Publicat: (2018-01-01)

Correction: Development of a scoring system to quantify errors from semantic characteristics in incident reports
Publicat: (2024-12-01)

BMJ statistical errors [5]
per: Cole, T, et al.
Publicat: (2004)

Measurement of T1 Mapping in Patients With Cardiac Devices: Off-Resonance Error Extends Beyond Visual Artifact but Can Be Quantified and Corrected
per: Anish N. Bhuva, et al.
Publicat: (2021-01-01)

ANALYSIS AND CORRECTION OF SYSTEMATIC HEIGHT MODEL ERRORS
per: K. Jacobsen
Publicat: (2016-06-01)

Quantifying uncertainty in computational neuroscience with Bayesian statistical inference
per: Cronin, Beau D
Publicat: (2009)

Quantifying the impact of daily mobility on errors in air pollution exposure estimation using mobile phone location data
per: Xiaonan Yu, et al.
Publicat: (2020-08-01)

Distinguishing between statistical and systematic errors in quantum process tomography
per: Sabine Wölk, et al.
Publicat: (2019-01-01)

Methods for Quantifying Source‐Specific Air Pollution Exposure to Serve Epidemiology, Risk Assessment, and Environmental Justice
per: Xiaorong Shan, et al.
Publicat: (2024-11-01)

Repeated quantum error correction on a continuously encoded qubit by real-time feedback
per: J. Cramer, et al.
Publicat: (2016-05-01)

Quantifying the estimation error of principal component vectors
per: Hauser, R, et al.
Publicat: (2019)

Epidemiology of Rounding Error
per: Jimmy T. Efird
Publicat: (2024-12-01)

TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors
per: Xin Lai, et al.
Publicat: (2025-01-01)