2,765 results found
  1. Peer Review: Rooting out bias

    Bridget M Kuehn
    Tackling unconscious bias is a major challenge for journals and the rest of the scientific community.
  2. Research: Publication bias and the canonization of false facts

    Silas Boye Nissen et al.
    Publication bias, in which positive results are preferentially reported by authors and published by journals, can restrict the visibility of evidence against false claims and allow such claims to be canonized inappropriately as facts.
  3. Research: Gender bias in scholarly peer review

    Markus Helmer et al.
    Gender-bias in peer reviewing might persist even when gender-equity is reached because both male and female editors operate with a same-gender preference whose characteristics differ by editor-gender.
    1. Epidemiology and Global Health

    Collider bias and the apparent protective effect of glucose-6-phosphate dehydrogenase deficiency on cerebral malaria

    James A Watson et al.
    Selection bias, also known as collider bias, likely explains the apparent protective effect of G6PD deficiency against cerebral falciparum malaria.
    1. Neuroscience

    Humans strategically shift decision bias by flexibly adjusting sensory evidence accumulation

    Niels A Kloosterman et al.
    Decision-makers are able to intentionally control neural excitability to strategically bias sensory evidence accumulation towards the decision bound that maximizes reward within a given ecological context.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Consistent and correctable bias in metagenomic sequencing experiments

    Michael R McLaren et al.
    A mathematical model of bias in marker-gene and metagenomic sequencing measurements explains systematic errors in defined mixtures of microbial species, and enables quantitative and reproducible investigation of biological communities.
  4. Philosophy of Biology: Philosophical bias is the one bias that science cannot avoid

    Fredrik Andersen et al.
    Scientists should be aware of the non-empirical assumptions that influence all kinds of research.
    1. Computational and Systems Biology

    Research: Bias in the reporting of sex and age in biomedical research on mouse models

    Oscar Flórez-Vargas et al.
    A text-mining study suggests that about half of the papers reporting the results of experiments on mice do not report the sex and age of the mice.
    1. Epidemiology and Global Health
    2. Human Biology and Medicine

    Standardized mean differences cause funnel plot distortion in publication bias assessments

    Peter-Paul Zwetsloot et al.
    Funnel plots of the Standardized Mean Difference versus the standard error are prone to distortion, leading to false-positive tests for funnel plot asymmetry, and therefore using the Normalised Mean Difference, or a sample size-based precision estimate, are more reliable alternatives.
    1. Ecology

    Meta-analysis challenges a textbook example of status signalling and demonstrates publication bias

    Alfredo Sánchez-Tójar et al.
    Meta-analysis takes down a textbook example in behavioural and evolutionary ecology, and demonstrates the existence of biases in the current scientific publishing culture.

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