reducing bias
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
... In this paper, we propose a method for reducing bias in machine learning classifiers without rely- ing on protected attributes. In contrast to previous work, our method eliminates the need to specify which ...
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Reducing bias in open label trials where blinded outcome assessment is not feasible: strategies from two randomised trials
... However, in some scenarios both of these methods of blinded assessment may be unfeasible. A direct blinded assessment of the patient may be difficult in scenarios where most or all of the staff in a centre are aware of ...
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Reducing bias in auditory duration reproduction by integrating the reproduced signal
... (1200 ms) confirmed previously reported range and regression effects [34–37], which suggests that participants tend to be biased towards the center of the stimulus range. In our case, due to the random mixing of the ...
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The Art of Estimating a Moving Parameter and Reducing Bias Introduced by Inflated Measurements in Student Assessments
... remove bias introduced into the process of student interaction with each other and the exchange of information; familiarity with chapter review assignments over understanding of materials covered; limitations on ...
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Reducing bias through directed acyclic graphs
... selection bias [5,6], collider bias [6] and confound- ing bias [6,7]; this terminology may be confusing and we prefer the terminology suggested by the structural approach to bias as described ...
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Reducing bias in nonparametric density estimation via bandwidth dependent kernels: L1 view
... is called the variation over R . There exists a large literature devoted to establishing conditions on f and K that assure suitable rates of convergence of the bias to zero as n → ∞ (see, inter alia, Silverman ...
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Detecting and Reducing Bias in a High Stakes Domain
... Given the interest in using this work in a live setting to identify situations where commu- nity outreach workers could intervene, we are concerned with how the model makes the deci- sion. This is especially important ...
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A generic algorithm for reducing bias in parametric estimation
... iterative bias corrections, thus facilitating the adjusted score approach to bias reduction in any model for which the first- order bias of the maximum likelihood estimator has already been ...
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Report from the Neurology Scientific Integrity Advisor: Year 1
... MacIntyre et al. are concerned about our exclusion of cases who had MS before the start of follow-up. To understand the rationale for this exclusion, it is helpful to consider two cohorts with different eligibility ...
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Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus level Constraints
... of bias amplification when training models on biased corpora, we propose a novel constrained inference framework, called RBA, for Reducing Bias Amplification in predic- ...reweigh bias ...
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A critical review of approaches to mitigating bias in fingerprint identification
... cognitive bias and psychological factors involved with human decision making could assist in the reduction of bias ...of bias can allow an individual to avoid situations that may cause a biased ...to ...
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Bias in parametric estimation : reduction and useful side effects
... for reducing bias, it is necessary to emphasize again that bias neces- sarily depends on the parameterization of the model; if the bias of any estimator ̂𝜃 is reduced resulting to a less ...
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... in bias by introducing selection characteristics or unknown variables (eg, age, sex, duration and severity of disease, co morbid factors) to the study ...This bias is not always obvious, ...
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Sex selection and gender balance
... gender bias, the equilibrium has too many boys, relative to the welfare ...gender bias, e¢ciency requires that women have greater bargaining power than men, even when marriage markets are ...
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A Methodology to Compute Regional Housing Index Price using Matching Estimator Methods
... Having estimated coefficients for each region and control groups, the next step is to estimate the value of the housing according to x . Previous research has shown that the advantage of the hedonic regression is that ...
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What to Do about Turnout Bias in American Elections: A Response to Wink and Weber
... that reducing the size of some of the lower state legislative chambers across the country would alleviate some of the turnout ...of reducing turnout bias, most state legislative chambers are really ...
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Exclusions from EMU
... inflationary bias but it will not solve the problem we have identified, ie the variance inflation in non-EMU countries and output variability in EMU countries will be increased by the monetary policy of the ...
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Exercise for reducing falls in people living with and beyond cancer
... If an intended outcome was not reported, we endeavoured to con- tact the trial authors to request additional data. If summary data were not available, we endeavoured to contact the authors to ob- tain the relevant ...
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Weight bias: investigating the impact of an empathy-evoking intervention in reducing mental health professionals’ anti-fat attitudes
... weight bias shown to be pervasive throughout the general population, but it appears that no healthcare discipline has proved immune to weight bias ...weight bias often occurring in places where ...
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State wise pattern of gender bias in child health in India
... gender bias in child health, the analysis is calibrated ...gender bias against girls has consistently reduced relative to the other ...gender bias against girl children in child health has ...
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