Related Experiment Video
Updated: Feb 11, 2026

In Vitro Method to Study Sex-Based Differences in Conjunctival Goblet Cells
Published on: July 28, 2023
Potential Reporting Bias in Neuroimaging Studies of Sex Differences
Sean P David1,2, Florian Naudet3,4, Jennifer Laude3,5
1Department of Medicine, Stanford University School of Medicine, Stanford, USA. spdavid@stanford.edu.
Abstract:
Numerous functional magnetic resonance imaging (fMRI) studies have reported sex differences. To empirically evaluate for evidence of excessive significance bias in this literature, we searched for published fMRI studies of human brain to evaluate sex differences, regardless of the topic investigated, in Medline and Scopus over 10 years. We analyzed the prevalence of conclusions in favor of sex differences and the correlation between study sample sizes and number of significant foci identified. In the absence of bias, larger studies (better powered) should identify a larger number of significant foci. Across 179 papers, median sample size was n = 32 (interquartile range 23-47.5). A median of 5 foci related to sex differences were reported (interquartile range, 2-9.5). Few articles (n = 2) had titles focused on no differences or on similarities (n = 3) between sexes. Overall, 158 papers (88%) reached "positive" conclusions in their abstract and presented some foci related to sex differences. There was no statistically significant relationship between sample size and the number of foci (-0.048% increase for every 10 participants, p = 0.63). The extremely high prevalence of "positive" results and the lack of the expected relationship between sample size and the number of discovered foci reflect probable reporting bias and excess significance bias in this literature.
Related Concept Videos
Electric Potential and Potential Difference
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
Bias in Epidemiological Studies
Confirmation Biases
Hindsight Biases
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Sex-linked Disorders

