The international nature of these organizations makes it hard to differentiate a North/South bias, as many of these partnerships are initiated at a country office level. For example, IUCN′s South Africa office initiated the “Johannesburg Climate Legacy” partnership, although IUCN HQ is based in...
Unlike arrays, tuples have a fixed number of elements and each element can have a different type. const athleteSchema = z.tuple([ z.string(), // name z.number(), // jersey number z.object({ pointsScored: z.number(), }), // statistics ]); type Athlete = z.infer<typeof athlete...
First, evaluators may be “more forgiving of the methodological weaknesses that they notice in studies of important problems” (p. 322)—which they characterized as a leniency bias. Second, the importance of a research topic may make it more difficult to detect methodological flaws, leading ...
The most important statistics Number of hate groups in the United States 1999-2023 Number of hate groups in the United States 2023, by type Number of hate groups in the United States 2022, by state Number of hate crime incidents U.S. 2023, by bias motivation Number of known hate crime ...
In the case of target selection, genomics/transcriptomics analysis through integrated statistics and network-based approaches are widely used31,32. There are some in-silico studies that explored T2D- and ccRCC-causing key genes (KGs) and their pathogenetic mechanisms individually33,34,35,36,37,38....
Bulk-tissue DNA methylomes represent an average over many different cell types, hampering our understanding of cell-type-specific contributions to disease development. As single-cell methylomics is not scalable to large cohorts of individuals, cost-effec
Department of Statistics and O. R.Marcel Deckker, IncCommunications in Statistics - Simulation and ComputationB. Lagos-Alvarez, M. D. Jimenez-Gamero, and V. Alba-Fernandez. Bias correction in the type I generalized logistic distribution. Communications in Statistics - Simulation and Computation, 40...
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A problem with the standardization sample noted by Kaufman (1985) was that there was apparent systematic bias in the selection of 16- to 19-year-olds, leading to very questionable teenage norms. Also Hispanics were not included systematically in the total sample. There was no mention of how ...
The dataset contains the following bias: All people are working in academic research, and are hence highly qualified people. We believe that this bias does not render the dataset less interesting, despite having a broader population would have been more valuable. Also, there is only 4 women ...