Sentence examples for bias the identification from inspiring English sources
CDAR research pages discuss the dispersion bias, the identification of financial risk factors via convex optimization, interest rates implied by futures markets, risk due to leverage, drawdown risk, counterparty risk and the hot hand in basketball.
Although the sequence of some of the epitopes included in this analysis differs by just one amino acid, what could bias the identification of a general pattern of an allele, epitopes with far different sequences maintained the same pattern.
In such situations highly influential genes that are shared across multiple pathways may bias the identification of some pathways unfairly.
Greater numbers of respondents with clinical knowledge of dementia potentially bias the identification and construction of dementia knowledge in this study [ 49].
The concordance criteria of agreement on 2 datasets in the analytical workflow would thus bias the identification of regions for this histotype.
Heterogeneity in responsiveness can obscure associations between dietary intakes and health outcomes and bias the identification of the effects of bioactive phytochemicals in specific subpopulations.
To exclude the possibility that this contamination biased the identification of PKS I proteins, the sample of origin of each of protein identified was examined.
In this regard, although our phylogenetic approach certainly carries associated biases, the identification of genes that phylogenetically contribute for the main branches (LGV, prevalent genital, non-prevalent genital and ocular serovars) of the species tree may be highly relevant for future functional studies.
The strategy outlined here allows a quantification of ligand bias and the identification of weakly biased compounds.
Each part of the research team was designated a coding approach so as to reduce bias in the identification of themes.
It is worth mentioning, however, that not only cognitive phenomena, but also individual motivations and Leitbilder [89] can be a potential cause for bias in the identification and evaluation of future impact factors.
