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Market sentiment remains mixed with bullishly biased implications.
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Findings from our simulations demonstrate that statistical models failing to uphold underlying assumptions about causality lead to biased results with implications for the interpretation of effects of exposures on human health end points.
Attention bias modification (ABM) procedures have been shown to modify biased attention with important implications for emotional vulnerability and resilience.
Both of these examples demonstrate that confirmation bias has implications for individuals' health and well-being.
In all societies, the existence of such cultural restraints on political innovation constitutes a fundamental conservative bias, the implications of which were aphoristically expressed by the 17th-century English statesman Viscount Falkland: "If it is not necessary to change, it is necessary not to change".
The presence of a pro-female-STEM bias has implications for the development of interventions.
These biases have implications for perpetrator sentencing as well as for overcoming the effects of sexual violence.
The findings are consistent with the notion that the effect of tDCS on emotional vulnerability may be mediated by changes in attentional bias, holding implications for the application of tDCS in emotion-based psychopathology.
These findings indicate that experimental designs which minimise bias have implications for the robustness of scientific results and, in biomedical research, the suitability of these animal studies for translation into clinical trials.
However, the presence of location bias has implications for the accurate assessment of local Type-I error rates throughout the genome.
Such biases have implications on the utilization and interpretation of Solexa sequencing data for the identification of SNPs and transcriptome profile analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com