Results 31 to 40 of about 3,089,076 (340)
Dissecting racial bias in an algorithm used to manage the health of populations
Science, 2019 Racial bias in health algorithms The U.S. health care system uses commercial algorithms to guide health decisions. Obermeyer et al. find evidence of racial bias in one widely used algorithm, such that Black patients assigned the same level of risk by the
Z. Obermeyer +3 more
semanticscholar +1 more source
Aggressive Behavior, Volume 49, Issue 1, Page 5-14, January 2023., 2023 Abstract This study uses longitudinal data from the UK Millennium Cohort Study (N = 13,277) to examine the childhood and early adolescence factors that predict weapon involvement in middle adolescence, which in this study is exemplified by having carried or used a weapon.
Aase Villadsen, Emla Fitzsimons
wiley +1 more source
Bias in meta-analysis detected by a simple, graphical test
British medical journal, 1997 Objective: Funnel plots (plots of effect estimates against sample size) may be useful to detect bias in meta-analyses that were later contradicted by large trials.
M. Egger +3 more
semanticscholar +1 more source
Aggressive Behavior, Volume 49, Issue 1, Page 85-95, January 2023., 2023 Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann +2 more
wiley +1 more source
Indication bias or protopathic bias? [PDF]
British Journal of Clinical Pharmacology, 2015 International ...
openaire +4 more sources
The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials
British medical journal, 2011 Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated.
Rui Zeng +3 more
semanticscholar +1 more source
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments [PDF]
Big Data, 2016 Recidivism prediction instruments (RPIs) provide decision-makers with an assessment of the likelihood that a criminal defendant will reoffend at a future point in time. Although such instruments are gaining increasing popularity across the country, their
A. Chouldechova
semanticscholar +1 more source
Factors modulating 99mTc‐MAA planar lung dosimetry for 90Y radioembolization
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose To investigate the accuracy and biases of predicted lung shunt fraction (LSF) and lung dose (LD) calculations via 99mTc‐macro‐aggregated albumin (99mTc‐MAA) planar imaging for treatment planning of 90Y‐microsphere radioembolization.
Benjamin P. Lopez +4 more
wiley +1 more source
StereoSet: Measuring stereotypical bias in pretrained language models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 A stereotype is an over-generalized belief about a particular group of people, e.g., Asians are good at math or African Americans are athletic. Such beliefs (biases) are known to hurt target groups.
Moin Nadeem, Anna Bethke, Siva Reddy
semanticscholar +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract This study aims to investigate the effects of the position correction of size‐specific dose estimates (SSDE) on patient dose estimation in cone beam computed tomography (CBCT). The relationship between the phantom position and absorbed dose in the right breast was studied using optically stimulated luminescence dosimeters and a simulated human
Hiroyuki Ueno +3 more
wiley +1 more source