Enhancing Nonparametric Tests: Insights for Computational Intelligence and Data Mining DOI

Shahid Yousufi Aqmal,

Faizal Mukthar Hussain S

Published: Dec. 10, 2024

Objective: With the aim of improving monitoring reliability and interpretability CI DM experimental statistical tests, we evaluate performance cutting-edge nonparametric tests post hoc procedures. Methods: A Friedman Aligned Ranks test, Quade multiple corrections Bonferroni-Dunn Holm were used to comparative analyze data. These approaches employed algorithm metrics with varied datasets their capability detect meaningful differences control Type I errors.Results: Advanced methods consistently outperformed traditional parametric offering robust results in heterogeneous datasets. The test was most powerful stable, procedures greatly increased power pairwise comparisons.Novelty: We advanced experiments: (Bonferroni-Dunn Holm). represent a departure from that depend on assumptions normality homogeneity variance, allowing for more flexible analyses complex, By comparing strength efficacy these methods, research also delivers common guidelines use; as well demonstrating utility realistic situations characterized by non-standard dispersed data.Implications Research: findings have far-reaching theoretical pragmatic implications scholars DM. On level, this work undermines bias towards techniques, providing an increasingly framework analysis research. This improves understanding adaptation fit complexities real-world data highlighting advantages specifically corrections. Practical give owners summaries actionable recommendations, which will assist researchers selection are tuned nature datasets, resulting improved future evaluations algorithms. Thus, endeavor promote statistically appropriate studies, leading confident valid claims surrounding algorithmic performance.

Language: Английский

Not so binary or generalizable: Brain sex differences with artificial neural networks DOI Creative Commons
Jeffrey W. Lockhart, Agustín Fuentes, Gina Rippon

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(2)

Published: Jan. 2, 2025

Language: Английский

Citations

1
Rethinking Gender/Sex Identity DOI
Anne Fausto‐Sterling

American Journal of Human Biology, Journal Year: 2025, Volume and Issue: 37(4)

Published: April 1, 2025

ABSTRACT Until quite recently, investigations of gender/sex development operated from a baseline assumption that is dichotomous or binary. Most such studies constructed outside adjacent to specific cultures, and for the most part studied children Western, Educated, Industrialized, Rich, Democratic (WEIRD) countries. In this paper I first advocate four research guidelines—inclusivity, epistemic justice, materiality, empiricism. sketch out historical background still shapes contemporary into psychology identity in infants toddlers. Next, point toward methods study toddlers have potential make nonbinary visible develop culturally diverse concepts development. Finally, challenge psychologists others view operationalize as relational, phenomenological entity rather than fixed feature individual psyche.

Language: Английский

Citations

1
The Sex Inclusive Research Framework to address sex bias in preclinical research proposals DOI Creative Commons
Natasha A. Karp,

Manuel Berdoy,

Kelly Gray

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 22, 2025

An interactive Sex Inclusive Research Framework (SIRF) supports the evaluation of in vivo and ex research proposals to address risk sex bias preclinical research. The framework delivers a traffic light classification, indicating whether proposal is appropriate, risky, or insufficient with regard inclusion. This tool designed for use by researchers, (animal) ethical review boards, funders generate rigorous reproducible assessment inclusion at level, thus helping resolve embedded

Language: Английский

Citations

1
Leveraging research into sex differences and steroid hormones to improve brain health DOI
Bonnie H. Lee,

Rand S. Eid,

Travis E. Hodges

et al.

Nature Reviews Endocrinology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Language: Английский

Citations

6
Exploring the impact of gender-related variables on health measures and perceived stress DOI Creative Commons
Maria Picó‐Pérez, Manuela de Mendonça Figueirêdo Coelho, Rita Vieira

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 25, 2025

Despite its relevance for health outcomes, only recently gender has begun to be explored in the scientific literature, typically using a rigid binary framework. To tackle this, Stanford Gender-related Variables Health Research (GVHR) was developed analyze from multidimensional perspective. We aim use our Portuguese version of GVHR and association with including perceived stress. this aim, 351 participants completed scale, sociodemographic, information (including Perceived Stress Scale, PSS-10). A Confirmatory Factor Analyses (CFA) first performed, logistic linear regressions were used explore between health-related variables. All measures CFA showed appropriate goodness fit. Regarding regression models, discrimination higher levels risk-taking associated binge drinking. Lower social support risk-taking, being male, overweight. stress, it positively work strain, while negatively support, emotional intelligence risk-taking. Finally, strain mental worsening activity limitations, worsening. In conclusion, by approaching perspective we detected specific factors influencing showing that relational aspects are particularly relevant health.

Language: Английский

Citations

0
Navigating the paradigm shift of sex inclusive preclinical research and lessons learnt DOI Creative Commons
Natasha A. Karp

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: April 29, 2025

Language: Английский

Citations

0
Enhancing Nonparametric Tests: Insights for Computational Intelligence and Data Mining DOI

Shahid Yousufi Aqmal,

Faizal Mukthar Hussain S

Published: Dec. 10, 2024

Objective: With the aim of improving monitoring reliability and interpretability CI DM experimental statistical tests, we evaluate performance cutting-edge nonparametric tests post hoc procedures. Methods: A Friedman Aligned Ranks test, Quade multiple corrections Bonferroni-Dunn Holm were used to comparative analyze data. These approaches employed algorithm metrics with varied datasets their capability detect meaningful differences control Type I errors.Results: Advanced methods consistently outperformed traditional parametric offering robust results in heterogeneous datasets. The test was most powerful stable, procedures greatly increased power pairwise comparisons.Novelty: We advanced experiments: (Bonferroni-Dunn Holm). represent a departure from that depend on assumptions normality homogeneity variance, allowing for more flexible analyses complex, By comparing strength efficacy these methods, research also delivers common guidelines use; as well demonstrating utility realistic situations characterized by non-standard dispersed data.Implications Research: findings have far-reaching theoretical pragmatic implications scholars DM. On level, this work undermines bias towards techniques, providing an increasingly framework analysis research. This improves understanding adaptation fit complexities real-world data highlighting advantages specifically corrections. Practical give owners summaries actionable recommendations, which will assist researchers selection are tuned nature datasets, resulting improved future evaluations algorithms. Thus, endeavor promote statistically appropriate studies, leading confident valid claims surrounding algorithmic performance.

Language: Английский

Citations

0