Cargando…

Instrumental variable-based high-dimensional mediation analysis with unmeasured confounders for survival data in the observational epigenetic study

Background: High dimensional mediation analysis is frequently conducted to explore the role of epigenetic modifiers between exposure and health outcome. However, the issue of high dimensional mediation analysis with unmeasured confounders for survival analysis in observational study has not been wel...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Fangyao, Hu, Weiwei, Cai, Jiaxin, Chen, Shiyu, Si, Aima, Zhang, Yuxiang, Liu, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932046/ https://www.ncbi.nlm.nih.gov/pubmed/36816039 http://dx.doi.org/10.3389/fgene.2023.1092489

Ejemplares similares

Performance of the high-dimensional propensity score in adjusting for unmeasured confounders
por: Guertin, Jason R, et al.
Publicado: (2016)

Cardiovascular Disease Mortality Attributable to Low Whole-Grain Intake in CHINA: An Age-Period-Cohort and Joinpoint Analysis
por: Chen, Fangyao, et al.
Publicado: (2022)

Stroke mortality attributable to high red meat intake in China and South Korea: An age–period–cohort and joinpoint analysis
por: Chen, Fangyao, et al.
Publicado: (2022)

Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses
por: Mathur, Maya B., et al.
Publicado: (2019)

Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation
por: Groenwold, Rolf H. H., et al.
Publicado: (2018)

Using instrumental variables to disentangle treatment and placebo effects in blinded and unblinded randomized clinical trials influenced by unmeasured confounders
por: Chaibub Neto, Elias
Publicado: (2016)

Quantifying the impact of unmeasured confounding in observational studies with the E value
por: Gaster, Tobias, et al.
Publicado: (2023)

High-Dimensional Mediation Analysis With Confounders in Survival Models
por: Yu, Zhangsheng, et al.
Publicado: (2021)

The long-term trend of Parkinson’s disease incidence and mortality in China and a Bayesian projection from 2020 to 2030
por: Chen, Fangyao, et al.
Publicado: (2022)

A new method to address unmeasured confounding of mortality in observational studies
por: Tannen, Richard, et al.
Publicado: (2016)

Long-Time Trend of Colorectal Cancer Mortality Attributable to High Processed Meat Intake in China and a Bayesian Projection from 2020 to 2030: A Model-Based Study
por: Chen, Fangyao, et al.
Publicado: (2022)

Explainable Machine Learning with Pairwise Interactions for Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Utilizing Multi-Modalities Data
por: Cai, Jiaxin, et al.
Publicado: (2023)

A flexible, interpretable framework for assessing sensitivity to unmeasured confounding
por: Dorie, Vincent, et al.
Publicado: (2016)

USE OF EXPOSURE CROSSOVER DESIGN TO CONTROL FOR UNMEASURED BASELINE CONFOUNDING IN OBSERVATIONAL STUDIES
por: Han, Ling, et al.
Publicado: (2019)

The ACCE method: an approach for obtaining quantitative or qualitative estimates of residual confounding that includes unmeasured confounding
por: Smith, Eric G.
Publicado: (2015)

Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding
por: Ding, Peng, et al.
Publicado: (2016)

Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications
por: Lutz, Sharon M., et al.
Publicado: (2017)

Adjusting for unmeasured confounding in nonrandomized longitudinal studies: a methodological review
por: Streeter, Adam J., et al.
Publicado: (2017)

Quantitative bias analysis in practice: review of software for regression with unmeasured confounding
por: Kawabata, Emily, et al.
Publicado: (2023)

Prenatal Depression and Infant Health: The Importance of Inadequately Measured, Unmeasured, and Unknown Confounds
por: Andrade, Chittaranjan
Publicado: (2018)

Illustration of the Impact of Unmeasured Confounding Within an Economic Evaluation Based on Nonrandomized Data
por: Guertin, Jason R., et al.
Publicado: (2017)

Assessing Techniques for Quantifying the Impact of Bias Due to an Unmeasured Confounder: An Applied Example
por: Barberio, Julie, et al.
Publicado: (2021)

A cautionary note on a recently proposed sensitivity analysis for unmeasured confounding
por: Ciocănea-Teodorescu, Iuliana, et al.
Publicado: (2020)

Predicting Six-Month Re-Admission Risk in Heart Failure Patients Using Multiple Machine Learning Methods: A Study Based on the Chinese Heart Failure Population Database
por: Chen, Shiyu, et al.
Publicado: (2023)

Examining the Relationship between Heavy Alcohol Use and Assaults: With Adjustment for the Effects of Unmeasured Confounders
por: Liang, Wenbin, et al.
Publicado: (2015)

Controlling for unmeasured confounding and spatial misalignment in long‐term air pollution and health studies
por: Lee, Duncan, et al.
Publicado: (2015)

Comments on “Prenatal Depression and Infant Health: The Importance of Inadequately Measured, Unmeasured and Unknown Confounds”
por: Verma, Tarun
Publicado: (2018)

Unsafe Injection Is Associated with Higher HIV Testing after Bayesian Adjustment for Unmeasured Confounding
por: Navadeh, Soodabeh, et al.
Publicado: (2020)

Socioeconomic status and survival after stroke – using mediation and sensitivity analyses to assess the effect of stroke severity and unmeasured confounding
por: Lindmark, Anita, et al.
Publicado: (2020)

How unmeasured confounding in a competing risks setting can affect treatment effect estimates in observational studies
por: Barrowman, Michael Andrew, et al.
Publicado: (2019)

Shared unmeasured characteristics among siblings confound the association of Apgar score with stress resilience in adolescence
por: Bergh, Cecilia, et al.
Publicado: (2019)

Author's Response to Comments on “Prenatal Depression and Infant Health: The Importance of Inadequately Measured, Unmeasured and Unknown Confounds”
por: Andrade, Chittaranjan
Publicado: (2018)

Estimation of marginal structural models under irregular visits and unmeasured confounder: calibrated inverse probability weights
por: Kalia, Sumeet, et al.
Publicado: (2023)

Linear high-dimensional mediation models adjusting for confounders using propensity score method
por: Luo, Linghao, et al.
Publicado: (2022)

Instrumental variables as bias amplifiers with general outcome and confounding
por: Ding, P., et al.
Publicado: (2017)

Methods to account for measured and unmeasured confounders in influenza relative vaccine effectiveness studies: A brief review of the literature
por: Loiacono, Matthew M., et al.
Publicado: (2022)

SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models
por: Gao, Dalong, et al.
Publicado: (2022)

Measurement error, time lag, unmeasured confounding: Considerations for longitudinal estimation of the effect of a mediator in randomised clinical trials
por: Goldsmith, KA, et al.
Publicado: (2016)

Re-examining the effect of door-to-balloon delay on STEMI outcomes in the context of unmeasured confounders: a retrospective cohort study
por: Foo, Chee Yoong, et al.
Publicado: (2019)

Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
por: Stockham, Nathaniel, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_1922kfnoit1t7f3m416v3jhr8p