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Attention and Interpretation Bias Modification Transfers to Memory Bias: Testing the Combined Cognitive Bias Hypothesis
PurposeThis study delves into the combined cognitive bias hypothesis in depression, exploring the interaction between negative attention,...
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Bias assessment and correction for Levin’s population attributable fraction in the presence of confounding
In 1953, Morton Levin introduced a simple approach to estimating population attributable fractions (PAF) depending only on risk factor prevalence and...
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The Effects of Cognitive Bias Modification on Hostile Interpretation Bias and Aggressive Behavior: A Systematic Review and Meta-analysis
BackgroundThis systematic review and meta-analysis examined the efficacy of Cognitive Bias Modification of Interpretation (CBM-I) to reduce hostile...
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Methodological review of NMA bias concepts provides groundwork for the development of a list of concepts for potential inclusion in a new risk of bias tool for network meta-analysis (RoB NMA Tool)
IntroductionNetwork meta-analyses (NMAs) have gained popularity and grown in number due to their ability to provide estimates of the comparative...
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Protocolized abuse screening to decrease provider bias and increase capture of potential events
BackgroundEarly identification of child abuse is critical to prevent death and disability. Studies suggest implicit bias of providers may lead to...
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Comparators in Pharmacovigilance: A Quasi-Quantification Bias Analysis
Background and ObjectiveIt is unclear which comparator is the most appropriate for bias reduction in disproportionality analyses based on spontaneous...
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A Systematic Review of Attentional Bias in Problem Gambling
A large body of previous research has provided support for the role of attentional bias as a maintaining factor in addiction. This systematic review...
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Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging
Purpose of ReviewBias in artificial intelligence (AI) models can result in unintended consequences. In cardiovascular imaging, biased AI models used...
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The Longitudinal Interplay Between Attention Bias and Interpretation Bias in Social Anxiety in Adolescents
BackgroundCognitive biases are found to play a role in the onset and maintenance of social anxiety. However, particularly in adolescence, the link...
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The Contribution of Attentional Bias to Negative Information to Social Anxiety-Linked Heightened State Anxiety During a Social Event
BackgroundIt has been proposed that people with high compared to low trait social anxiety pay greater attention to negative information concerning...
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Human visual explanations mitigate bias in AI-based assessment of surgeon skills
Artificial intelligence (AI) systems can now reliably assess surgeon skills through videos of intraoperative surgical activity. With such systems...
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Impact of cerebral blood flow and amyloid load on SUVR bias
BackgroundDespite its widespread use, the semi-quantitative standardized uptake value ratio (SUVR) may be biased compared with the distribution...
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Assessing bias in GFR estimating equations: improper GFR stratification can yield misleading results
BackgroundAssessing bias (estimated – measured) is key to evaluating glomerular filtration rate (GFR). Stratification by subgroups can indicate where...
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Implicit Racial Bias in Evaluation of Neonatal Opioid Withdrawal Syndrome
ObjectiveTo assess implicit bias by administrating the Modified Finnegan Score (MFS) for quantifying neonatal opioid withdrawal and to evaluate risk...
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Provider bias and family planning in Upper Egypt: a simulated client approach
BackgroundProvider bias is a main barrier that extensively violates the right of free family planning method choice. Egypt is one of the countries...
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Attention Bias and Anxiety: The Moderating Effect of Sociocultural Variables in Rural Latinx Youth
Attention bias confers risk for anxiety development, however, the influence of sociodemographic variables on the relationship between attention bias...
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Evaluating publication bias for clinical trials supporting new dermatologic drug approvals from 2003 to 2018
The degree of publication bias and impact of the Food and Drug Administration Amendments Act (FDAAA) of 2007, which aimed to improve clinical trial...
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Comparisons of Explicit Weight Bias Across Common Clinical Specialties of US Resident Physicians
BackgroundPatients with high body weight are persistently stigmatized in medical settings, with studies demonstrating that providers endorse negative...
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Assessing risk of bias in the meta-analysis of round 1 of the Health Care Innovation Awards
BackgroundSystematic reviews of observational studies can be affected by biases that lead to under- or over-estimates of true intervention effects....
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Subpopulation-specific machine learning prognosis for underrepresented patients with double prioritized bias correction
BackgroundMany clinical datasets are intrinsically imbalanced, dominated by overwhelming majority groups. Off-the-shelf machine learning models that...
