Results 31 to 40 of about 6,599,728 (380)
Background: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal ...
J. Bowden, G. Davey Smith, S. Burgess
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Fair prediction with disparate impact: A study of bias in recidivism prediction instruments [PDF]
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
Alexandra Chouldechova
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Background Phase measuring deflectometry is a highly precise and full field metrology technique for specular surfaces based on the distortion of known reference patterns observed as a reflection at the surface under test.
Jonas Bartsch+2 more
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Dissecting racial bias in an algorithm used to manage the health of populations
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
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Analysis of compositions of microbiomes with bias correction
Differential abundance (DA) analysis of microbiome data continues to be a challenging problem due to the complexity of the data. In this article we define the notion of “sampling fraction” and demonstrate a major hurdle in performing DA analysis of ...
Huang Lin, S. Peddada
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A marine-derived strain of Clonostachys rosea isolated from sediments of the river Loire estuary (France) was investigated for its high lipid production. The fungal strain was grown on six different culture media to explore lipid production changes.
Ana Camila Dos Santos Dias+8 more
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The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials
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
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