Cargando…

Negative control exposure studies in the presence of measurement error: implications for attempted effect estimate calibration

BACKGROUND: Negative control exposure studies are increasingly being used in epidemiological studies to strengthen causal inference regarding an exposure-outcome association when unobserved confounding is thought to be present. Negative control exposure studies contrast the magnitude of association...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sanderson, Eleanor, Macdonald-Wallis, Corrie, Davey Smith, George
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2018
Materias:	Methods
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5913619/ https://www.ncbi.nlm.nih.gov/pubmed/29088358 http://dx.doi.org/10.1093/ije/dyx213

Ejemplares similares

The use of negative control outcomes in Mendelian randomization to detect potential population stratification
por: Sanderson, Eleanor, et al.
Publicado: (2021)

Interpretation of Mendelian randomization using a single measure of an exposure that varies over time
por: Morris, Tim T, et al.
Publicado: (2022)

Interpreting Mendelian-randomization estimates of the effects of categorical exposures such as disease status and educational attainment
por: Howe, Laurence J, et al.
Publicado: (2021)

Comparison of intergenerational instrumental variable analyses of body mass index and mortality in UK Biobank
por: Barry, Ciarrah-Jane, et al.
Publicado: (2022)

Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
por: Hartley, April, et al.
Publicado: (2021)

Exploring and mitigating potential bias when genetic instrumental variables are associated with multiple non-exposure traits in Mendelian randomization
por: Yang, Qian, et al.
Publicado: (2022)

Selection Bias When Estimating Average Treatment Effects Using One-sample Instrumental Variable Analysis
por: Hughes, Rachael A., et al.
Publicado: (2019)

On Inertial Body Tracking in the Presence of Model Calibration Errors
por: Miezal, Markus, et al.
Publicado: (2016)

Estimation of causal effects of a time-varying exposure at multiple time points through multivariable mendelian randomization
por: Sanderson, Eleanor, et al.
Publicado: (2022)

A Comparison of Methods to Adjust Risk Models for Measurement Error in Dietary Exposure
por: Hutchinson, Joy, et al.
Publicado: (2022)

Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution
por: Chen, Kylie, et al.
Publicado: (2022)

A method for soil moisture probes calibration and validation of satellite estimates
por: Holzman, Mauro, et al.
Publicado: (2017)

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments
por: Windmeijer, Frank, et al.
Publicado: (2018)

Estimating measures of interaction on an additive scale for preventive exposures
por: Knol, Mirjam J., et al.
Publicado: (2011)

Calibration of a Stereoscopic Vision System in the Presence of Errors in Pitch Angle
por: Felipe, Jonatán, et al.
Publicado: (2022)

Relation of maternal prepregnancy body mass index with offspring bone mass in childhood: is there evidence for an intrauterine effect?(1)(2)(3)(4)
por: Macdonald-Wallis, Corrie, et al.
Publicado: (2010)

A simple method for getting standard error on the ratiometric calcium estimator
por: Hess, Simon, et al.
Publicado: (2021)

Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates
por: Burgess, Stephen, et al.
Publicado: (2018)

Calibration of random dot stereograms and correlograms free of monocular cues
por: Radó, János, et al.
Publicado: (2020)

UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy
por: Smith, Tom, et al.
Publicado: (2017)

Assessing causal relationships using genetic proxies for exposures: an introduction to Mendelian randomization
por: Katikireddi, Srinivasa Vittal, et al.
Publicado: (2017)

SCEPTRE improves calibration and sensitivity in single-cell CRISPR screen analysis
por: Barry, Timothy, et al.
Publicado: (2021)

Application of variance components estimation to calibrate geoid error models
por: Guo, Dong-Mei, et al.
Publicado: (2015)

FixItFelix: improving genomic analysis by fixing reference errors
por: Behera, Sairam, et al.
Publicado: (2023)

Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
por: Hartwig, Fernando Pires, et al.
Publicado: (2017)

Handling unobserved confounding in the relation between prenatal risk factors and child outcomes: a latent variable strategy
por: Gustavson, Kristin, et al.
Publicado: (2022)

Estimation of allele-specific fitness effects across human protein-coding sequences and implications for disease
por: Huang, Yi-Fei, et al.
Publicado: (2019)

HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
por: Gerdes, Lee, et al.
Publicado: (2013)

Using near–surface temperature data to vicariously calibrate high-resolution thermal infrared imagery and estimate physical surface properties
por: Titus, Timothy N., et al.
Publicado: (2022)

Hybrid-hybrid correction of errors in long reads with HERO
por: Kang, Xiongbin, et al.
Publicado: (2023)

Estimating and comparing microbial diversity in the presence of sequencing errors
por: Chiu, Chun-Huo, et al.
Publicado: (2016)

An inverse planned oil release validation method for estimating oil slick thickness from thermal contrast remote sensing by in-scene calibration
por: Leifer, Ira, et al.
Publicado: (2022)

A new toolbox to distinguish the sources of spatial memory error
por: Grogan, John P., et al.
Publicado: (2020)

Reviewing braiding indices of the river channel in an attempt to establish alternatives
por: Das, Balai Chandra, et al.
Publicado: (2023)

Estimating model error covariances using particle filters
por: Zhu, Mengbin, et al.
Publicado: (2017)

Genotyping errors in a calibrated DNA register: implications for identification of individuals
por: Haaland, Øystein A, et al.
Publicado: (2011)

Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar
por: Sallis, Hannah M, et al.
Publicado: (2022)

Reappraising the role of instrumental inequalities for mendelian randomization studies in the mega Biobank era
por: Sanderson, Eleanor, et al.
Publicado: (2023)

An Attempt to Correct a Few Errors
por: Morgan, Henry W.
Publicado: (1912)

A novel approach to quantify random error explicitly in epidemiological studies
por: Janszky, Imre, et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_4dj9ujq4u7ekigg0moa0qhp5dr