- Impact of bias due to an unmeasured confounder🔍
- The effect of publication bias on the Q test and assessment of ...🔍
- Guiding Principles to Address the Impact of Algorithm Bias on Racial ...🔍
- Quantitative Bias Analysis for Epidemiologic Data🔍
- Assessment and Bias🔍
- Meta|assessment of bias in science🔍
- Algorithmic bias detection and mitigation🔍
- Investigating Bias in LLM|Based Bias Detection🔍
A simulation|based bias analysis to assess the impact of ...
Impact of bias due to an unmeasured confounder | CLEP
We performed a quantitative bias analysis (QBA) of the “unmeasured” confounder, using external information to specify the bias parameters. Upper ...
The effect of publication bias on the Q test and assessment of ...
One of the main goals of meta-analysis is to test for and estimate the heterogeneity of effect sizes. We examined the effect of publication bias on the Q ...
Guiding Principles to Address the Impact of Algorithm Bias on Racial ...
A biased algorithm that used race to estimate kidney function resulted in higher estimates for Black patients compared with White patients, ...
Quantitative Bias Analysis for Epidemiologic Data
Quantitative bias analysis allows to estimate nonrandom errors in epidemiologic studies, assessing the magnitude and direction of biases, and quantifying their ...
Assessment and Bias | Feedback & Grading | Teaching Guides
As instructors, it's important to reduce unintentional bias in our assessments and to understand how a perceived threat of bias can affect student performance.
Statistical bias, in the mathematical field of statistics, is a systematic tendency in which the methods used to gather data and generate statistics present ...
Meta-assessment of bias in science - PNAS
Science is said to be suffering a reproducibility crisis caused by many biases. How common are these problems, across the wide diversity of ...
Algorithmic bias detection and mitigation: Best practices and policies ...
Once the idea for an algorithm has been vetted against nondiscrimination laws, we suggest that operators of algorithms develop a bias impact ...
Investigating Bias in LLM-Based Bias Detection: Disparities between ...
Before delving into our investigation, it's important to differentiate between the tasks of bias detection and LLM bias analysis. Bias detection ...
The consequence of bias is systematic error in the risk ratio, rate ratio, or odds ratio estimate. Bias may be introduced at the design or analysis phase of a.
Meta bias — Tests for small-study effects in meta-analysis - Stata
Quick start. Test for small-study effects by using the Egger regression-based test meta bias, egger. Same as above, but include a moderator x1 to account ...
quantitative bias analysis in health technology assessment
Unmeasured confounding is a primary concern with this type of evidence, as it may result in biased treatment effect estimates, which has led to ...
Risk of Bias and Study Quality Assessment: Linking Evidence ... - jospt
Study quality and risk of bias assessment tools both aim to help the reader assess how likely it is that the results of a study are true.
The impact of biases on simulation-based risk aggregation
Matthias Meyer & Cathérine Grisar & Felix Kuhnert, 2011. "The impact of biases on simulation-based risk aggregation: modeling cognitive influences on risk ...
Quantitative Bias Analysis Under the Marginal Structural Modelling ...
OBJECTIVES: Quantitative Bias Analysis (QBA) is a set of methods to study different biases. It is particularly well-suited to quantifying the impact of ...
A primer on quantitative bias analysis with positive predictive values ...
In this tutorial, we provide a concise review of predictive value-based quantitative bias analysis (QBA), which comprises epidemiologic methods that use ...
Examining publication bias—a simulation-based evaluation ... - PeerJ
Note that a Preprint of this article also exists, first published June 29, 2017. Author and article information.
Understanding Bias in Machine Learning Models - Arize AI
Bias can be introduced into the machine learning process and reinforced by model predictions from a variety of sources. At various phases of the ...
9 types of bias in data analysis and how to avoid them - TechTarget
Bias in data analysis has plenty of repercussions, from social backlash to business impacts. Inherent racial or gender bias might affect ...
Study finds gender and skin-type bias in commercial ... - MIT News
A new paper from the MIT Media Lab's Joy Buolamwini shows that three commercial facial-analysis programs demonstrate gender and skin-type ...