Cargando…

A cautionary note on a recently proposed sensitivity analysis for unmeasured confounding

Detalles Bibliográficos
Autores principales:	Ciocănea-Teodorescu, Iuliana, Sjölander, Arvid
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2020
Materias:	Opinion
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271188/ https://www.ncbi.nlm.nih.gov/pubmed/33367797 http://dx.doi.org/10.1093/ije/dyaa258

Ejemplares similares

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

Target parameters and bias in non-causal change-score analyses with measurement errors
por: Sjölander, Arvid, et al.
Publicado: (2023)

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

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

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

Cautionary note on contamination of reagents used for molecular detection of SARS-CoV-2
por: Huggett, Jim F, et al.
Publicado: (2020)

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

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

A cautionary tale of virus and disease
por: Weiss, Robin A
Publicado: (2010)

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

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

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)

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

Are E-values too optimistic or too pessimistic? Both and neither!
por: Sjölander, Arvid, et al.
Publicado: (2022)

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)

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

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

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)

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)

Artificial Intelligence, Heuristic Biases, and the Optimization of Health Outcomes: Cautionary Optimism
por: Feehan, Michael, et al.
Publicado: (2021)

Accounting for Potential Unmeasured Confounding in the Association between Influenza vaccination and COVID-19 Hospitalization: Sensitivity Analysis Using E-value Method
por: Sadeghi, Reza, et al.
Publicado: (2022)

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

Instrumental variable-based high-dimensional mediation analysis with unmeasured confounders for survival data in the observational epigenetic study
por: Chen, Fangyao, et al.
Publicado: (2023)

A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies”
por: Grabowski, Mark, et al.
Publicado: (2023)

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)

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

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)

Oscillators and Syllables: A Cautionary Note
por: Cummins, Fred
Publicado: (2012)

Shared Decision-Making: Some cautionary observations in the context of elite sport
por: Paul, Darren James, 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)

Seasonal Blood Pressure Variation: A Neglected Confounder in Clinical Hypertension Research and Practice
por: Stergiou, George S, et al.
Publicado: (2020)

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)

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_vf9alah6l8hkinkvi3bm2gfvcu