Cargando…

The Importance of Making Assumptions in Bias Analysis

Quantitative bias analyses allow researchers to adjust for uncontrolled confounding, given specification of certain bias parameters. When researchers are concerned about unknown confounders, plausible values for these bias parameters will be difficult to specify. Ding and VanderWeele developed bound...

Descripción completa

Detalles Bibliográficos
Autores principales:	MacLehose, Richard F., Ahern, Thomas P., Lash, Timothy L., Poole, Charles, Greenland, Sander
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2021
Materias:	Methods
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318561/ https://www.ncbi.nlm.nih.gov/pubmed/34224472 http://dx.doi.org/10.1097/EDE.0000000000001381

Ejemplares similares

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

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

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

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

Sensitivity Analysis Without Assumptions
por: Ding, Peng, et al.
Publicado: (2016)

Book Reviews: Rooted in the earth, rooted in the sky: Hildegard of Bingen and premodern medicine
por: MacLehose, William F
Publicado: (2009)

Book Reviews: Hospitals and healing from antiquity to the later Middle Ages
por: MacLehose, William
Publicado: (2010)

A further critique of the analytic strategy of adjusting for covariates to identify biologic mediation
por: Kaufman, Jay S, et al.
Publicado: (2004)

95818 Physical and Cognitive Resilience and Alzheimer’s Disease in a Tibetan Buddhist Monastic Community
por: Namdul, Tenzin, et al.
Publicado: (2021)

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

(Errors in statistical tests)(3)
por: Phillips, Carl V, et al.
Publicado: (2008)

Incomplete Tests of Conditional Association for the Assessment of Model Assumptions
por: Ligtvoet, Rudy
Publicado: (2022)

The Assumption of Proportional Components when Candecomp is Applied to Symmetric Matrices in the Context of Indscal
por: Dosse, Mohammed Bennani, et al.
Publicado: (2008)

Translating Cochrane Reviews to Ensure that Healthcare Decision-Making is Informed by High-Quality Research Evidence
por: von Elm, Erik, et al.
Publicado: (2013)

Homoscedasticity: an overlooked critical assumption for linear regression
por: Yang, Kun, et al.
Publicado: (2019)

Strategies for evaluating the assumptions of the regression discontinuity design: a case study using a human papillomavirus vaccination programme
por: Smith, Leah M, et al.
Publicado: (2017)

Intrarectal quinine for treating Plasmodium falciparum malaria: a systematic review
por: Eisenhut, Michael, et al.
Publicado: (2005)

On testing proportional odds assumptions for proportional odds models
por: Liu, Anqi, et al.
Publicado: (2023)

A flexible Bayesian hierarchical model of preterm birth risk among US Hispanic subgroups in relation to maternal nativity and education
por: Kaufman, Jay S, et al.
Publicado: (2011)

Prevalence of Dementia in American Indian/ Alaska Native Medicare Beneficiaries
por: Moon, Heehyul, et al.
Publicado: (2021)

Prevalence of Dementia in American Indian/ Alaska Native Medicare Beneficiaries
por: Moon, Heehyul, et al.
Publicado: (2021)

Inferring genes that escape X-Chromosome inactivation reveals important contribution of variable escape genes to sex-biased diseases
por: Sauteraud, Renan, et al.
Publicado: (2021)

Brief Report: Negative Controls to Detect Selection Bias and Measurement Bias in Epidemiologic Studies
por: Arnold, Benjamin F., et al.
Publicado: (2016)

Correcting signal biases and detecting regulatory elements in STARR-seq data
por: Kim, Young-Sook, et al.
Publicado: (2021)

COVID-19 pandemic effects on emotional health and substance use among urban American Indian and Alaska Native people
por: Haskins, Cole, et al.
Publicado: (2023)

Genomic loci susceptible to systematic sequencing bias in clinical whole genomes
por: Freeman, Timothy M., et al.
Publicado: (2020)

All in the Family: Correlations between Parents’ and Adolescent Siblings’ Weight and Weight-related Behaviors
por: Berge, Jerica M., et al.
Publicado: (2015)

State-Level Trends and Correlates for Cross-Sector Collaboration on School Nutrition and Physical Education Activities, 2000–2012
por: Pelletier, Jennifer E., et al.
Publicado: (2016)

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

Gene ontology analysis for RNA-seq: accounting for selection bias
por: Young, Matthew D, et al.
Publicado: (2010)

Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
por: Aird, Daniel, et al.
Publicado: (2011)

Correcting for sequence biases in present/absent calls
por: Schuster, Eugene F, et al.
Publicado: (2007)

Bias in energy system models with uniform cost of capital assumption
por: Egli, Florian, et al.
Publicado: (2019)

Bounding Bias Due to Selection
por: Smith, Louisa H., et al.
Publicado: (2019)

Nonresident parental influence on adolescent weight and weight-related behaviors: similar or different from resident parental influence?
por: Berge, Jerica M, et al.
Publicado: (2014)

Neighborhood Socioeconomic Status and Quality of Kidney Care: Data From Electronic Health Records
por: Ghazi, Lama, et al.
Publicado: (2021)

Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System
por: Ghazi, Lama, et al.
Publicado: (2021)

Quantification of GC-biased gene conversion in the human genome
por: Glémin, Sylvain, et al.
Publicado: (2015)

When should meta‐analysis avoid making hidden normality assumptions?
por: Jackson, Dan, et al.
Publicado: (2018)

Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition
por: Adey, Andrew, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_chcn5bbvvlmcas3mdhcegh2ee6