Cargando…

Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach

The use of genetic variants as instrumental variables – an approach known as Mendelian randomization – is a popular epidemiological method for estimating the causal effect of an exposure (phenotype, biomarker, risk factor) on a disease or health-related outcome from observational data. Instrumental...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bucur, Ioan Gabriel, Claassen, Tom, Heskes, Tom
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2019
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221461/ https://www.ncbi.nlm.nih.gov/pubmed/31146640 http://dx.doi.org/10.1177/0962280219851817

Ejemplares similares

Spectral Ranking of Causal Influence in Complex Systems
por: Zalmijn, Errol, et al.
Publicado: (2021)

autoRasch: An R Package to Do Semi-Automated Rasch Analysis
por: Wijayanto, Feri, et al.
Publicado: (2022)

Use of Mendelian Randomization to Examine Causal Inference in Osteoporosis
por: Zheng, Jie, et al.
Publicado: (2019)

Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies
por: Piray, Payam, et al.
Publicado: (2019)

Mendelian randomization: genetic anchors for causal inference in epidemiological studies
por: Davey Smith, George, et al.
Publicado: (2014)

Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates
por: Rees, Jessica M. B., et al.
Publicado: (2019)

Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates
por: Hinne, Max, et al.
Publicado: (2015)

Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD
por: Sokolova, Elena, et al.
Publicado: (2016)

Survival Bias in Mendelian Randomization Studies: A Threat to Causal Inference
por: Smit, Roelof A. J., et al.
Publicado: (2019)

Higher adiposity and mental health: causal inference using Mendelian randomization
por: Casanova, Francesco, et al.
Publicado: (2021)

Mendelian Randomisation and Causal Inference in Observational Epidemiology
por: Sheehan, Nuala A, et al.
Publicado: (2008)

Mendelian Randomization in Stroke: A Powerful Approach to Causal Inference and Drug Target Validation
por: Acosta, Julián N., et al.
Publicado: (2021)

Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates
por: Thijssen, Bram, et al.
Publicado: (2018)

A Bayesian Model for Bivariate Causal Inference
por: Kurthen, Maximilian, et al.
Publicado: (2019)

Interhemispheric multisensory perception and Bayesian causal inference
por: Huo, Hongqiang, et al.
Publicado: (2023)

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

Mendel’s laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues
por: Davey Smith, George, et al.
Publicado: (2020)

Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data
por: Lin, Zhaotong, et al.
Publicado: (2023)

Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
por: Li, Jiaxin, et al.
Publicado: (2022)

USING MENDELIAN RANDOMISATION TO INFER CAUSALITY IN DEPRESSION AND ANXIETY RESEARCH
por: Gage, Suzanne H, et al.
Publicado: (2014)

Semi-automated Rasch analysis with differential item functioning
por: Wijayanto, Feri, et al.
Publicado: (2022)

Bayesian causal inference in visuotactile integration in children and adults
por: Verhaar, Erik, et al.
Publicado: (2021)

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants
por: Burgess, Stephen, et al.
Publicado: (2017)

Mendelian randomization study of causal link from gut microbiota to colorectal cancer
por: Ni, Jing-Jing, et al.
Publicado: (2022)

Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
por: Burgess, Stephen, et al.
Publicado: (2015)

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

MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates
por: Foley, Christopher N, et al.
Publicado: (2020)

Cortical Hierarchies Perform Bayesian Causal Inference in Multisensory Perception
por: Rohe, Tim, et al.
Publicado: (2015)

To integrate or not to integrate: Temporal dynamics of hierarchical Bayesian causal inference
por: Aller, Máté, et al.
Publicado: (2019)

The neural dynamics of hierarchical Bayesian causal inference in multisensory perception
por: Rohe, Tim, et al.
Publicado: (2019)

Association between bilirubin and cardiovascular disease risk factors: using Mendelian randomization to assess causal inference
por: McArdle, Patrick F, et al.
Publicado: (2012)

Causal Inference for Genetic Obesity, Cardiometabolic Profile and COVID-19 Susceptibility: A Mendelian Randomization Study
por: Aung, Nay, et al.
Publicado: (2020)

Causal Inference of Carnitine on Blood Pressure and potential mediation by uric acid: A mendelian randomization analysis
por: Richard, Melissa A., et al.
Publicado: (2021)

Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics
por: Hu, Xianghong, et al.
Publicado: (2022)

Causal Inference in Multisensory Heading Estimation
por: de Winkel, Ksander N., et al.
Publicado: (2017)

A Causal and Mediation Analysis of the Comorbidity Between Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD)
por: Sokolova, Elena, et al.
Publicado: (2017)

Bayesian inference: parameter estimation and decisions
por: Harney, Hanns L
Publicado: (2003)

Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
por: Qi, Guanghao, et al.
Publicado: (2019)

Estimation of Causal Effect of Age at Menarche on Pubertal Height Growth Using Mendelian Randomization
por: Jo, Eun Jae, et al.
Publicado: (2022)

Estimation of time-varying causal effects with multivariable Mendelian randomization: some cautionary notes
por: Tian, Haodong, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_i2ir7hmcjf4qk3dbmnq1oj5ant