Cargando…

Assessing Techniques for Quantifying the Impact of Bias Due to an Unmeasured Confounder: An Applied Example

PURPOSE: To compare the magnitude of bias due to unmeasured confounding estimated from various techniques in an applied example. PATIENTS AND METHODS: We examined the association between dibutyl phthalate (DBP) and incident estrogen receptor (ER)-positive breast cancer in a Danish nationwide cohort...

Descripción completa

Detalles Bibliográficos
Autores principales:	Barberio, Julie, Ahern, Thomas P, MacLehose, Richard F, Collin, Lindsay J, Cronin-Fenton, Deirdre P, Damkier, Per, Sørensen, Henrik Toft, Lash, Timothy L
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Dove 2021
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326776/ https://www.ncbi.nlm.nih.gov/pubmed/34349564 http://dx.doi.org/10.2147/CLEP.S313613

Ejemplares similares

Improving the transparency of meta-analyses with interactive web applications
por: Ahern, Thomas P, et al.
Publicado: (2021)

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

The Importance of Making Assumptions in Bias Analysis
por: MacLehose, Richard F., et al.
Publicado: (2021)

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

Cohort Profile: the Predictors of Breast Cancer Recurrence (ProBe CaRE) Premenopausal Breast Cancer Cohort Study in Denmark
por: Collin, Lindsay J, et al.
Publicado: (2018)

Socioeconomic position and prognosis in premenopausal breast cancer: a population-based cohort study in Denmark
por: Hjorth, Cathrine Fonnesbech, et al.
Publicado: (2021)

Correction: Socioeconomic position and prognosis in premenopausal breast cancer: a population-based cohort study in Denmark
por: Hjorth, Cathrine Fonnesbech, et al.
Publicado: (2023)

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

Hypoxia-inducible factor-1α expression and breast cancer recurrence in a Danish population-based case control study
por: Collin, Lindsay J., et al.
Publicado: (2021)

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

Application of the Adaptive Validation Substudy Design to Colorectal Cancer Recurrence
por: Collin, Lindsay J, et al.
Publicado: (2020)

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

Performance of the high-dimensional propensity score in adjusting for unmeasured confounders
por: Guertin, Jason R, 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)

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

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

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

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

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)

Adaptive Validation Design: A Bayesian Approach to Validation Substudy Design With Prospective Data Collection
por: Collin, Lindsay J., et al.
Publicado: (2020)

Apolipoprotein D expression does not predict breast cancer recurrence among tamoxifen-treated patients
por: Klebaner, Daniella, et al.
Publicado: (2017)

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)

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

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

Concordance of metabolic enzyme genotypes assayed from paraffin-embedded, formalin-fixed breast tumors and normal lymphatic tissue
por: Ahern, Thomas P, et al.
Publicado: (2010)

Single-nucleotide polymorphisms and the effectiveness of taxane-based chemotherapy in premenopausal breast cancer: a population-based cohort study in Denmark
por: Hjorth, Cathrine F., et al.
Publicado: (2022)

Use of glucocorticoids and risk of breast cancer: a Danish population-based case-control study
por: Sørensen, Gitte Vrelits, et al.
Publicado: (2012)

Confounding by Socioeconomic Status in Epidemiological Studies of Air Pollution and Health: Challenges and Opportunities
por: Hajat, Anjum, et al.
Publicado: (2021)

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)

Noncollapsibility and its role in quantifying confounding bias in logistic regression
por: Schuster, Noah A., et al.
Publicado: (2021)

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)

Use of selective serotonin reuptake inhibitors and risk of re-operation due to post-surgical bleeding in breast cancer patients: a Danish population-based cohort study
por: Gärtner, Rune, et al.
Publicado: (2010)

Challenges in translating endpoints from trials to observational cohort studies in oncology
por: Ording, Anne Gulbech, et al.
Publicado: (2016)

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

Cannot write session to /tmp/vufind_sessions/sess_p5kqcq0o6ru6i7cj2l0avnh89m