Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Parametric and nonparametric FDR estimation revisited.

Baolin Wu1, Zhong Guan, Hongyu Zhao

  • 1Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, USA. baolin@biostat.umn.edu

Biometrics
|September 21, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Altered amygdala resting-state functional connectivity in anxiety disorders: a coordinate-based meta-analysis.

Psychological medicine·2026
Same author

Comparative biomechanical and molecular mechanisms shaping erect and prostrate winter growth habits in wheat.

Plant science : an international journal of experimental plant biology·2026
Same author

Switchgrass transcription factor PvATAF2 plays positive roles in plant root-zone low-temperature tolerance.

International journal of biological macromolecules·2026
Same author

Deteriorated Gray Matter Connectome in Diabetic Kidney Disease: A Graph Theory Analysis of Individual-Level Gray Matter Morphological Networks.

Brain and behavior·2025
Same author

Divergent structural and functional brain alterations in HIV-infected patients: a multimodal meta-analysis.

Frontiers in neurology·2025
Same author

Transcriptome, Metabolome, and Physiological Analysis Provide New Insights into the Mechanism of Prostrate/Erect Growth Habits in the Wheat Overwintering Period.

Journal of agricultural and food chemistry·2025

Nonparametric methods for false discovery rate estimation are conservative. This study reveals their relation to parametric approaches and empirical Bayes, advocating for parametric methods or direct empirical Bayes modeling.

Area of Science:

  • Statistical inference
  • Hypothesis testing
  • False discovery rate control

Background:

  • False discovery rate (FDR) estimation is crucial in multiple hypothesis testing.
  • Both parametric and nonparametric methods exist, with parametric approaches often outperforming nonparametric ones.
  • Understanding the relationship between these methods is key to improving FDR control.

Purpose of the Study:

  • To investigate and quantify the relationship between parametric and nonparametric approaches for FDR estimation.
  • To analyze the performance and characteristics of nonparametric FDR estimation methods.
  • To connect nonparametric methods with empirical Bayes and p-value-based techniques.

Main Methods:

  • Comparative analysis of parametric and nonparametric FDR estimation techniques.

Related Experiment Videos

  • Quantification of the relationship between different FDR estimation approaches.
  • Investigation of connections between empirical Bayes methods and p-value-based nonparametric FDR control.

    • Main Results:

    • Nonparametric FDR estimation methods exhibit a conservative bias.
    • Established quantitative links between empirical Bayes and p-value-based nonparametric FDR methods.
    • Demonstrated the conservative nature of nonparametric approaches compared to parametric ones.

    Conclusions:

    • Nonparametric FDR estimation methods are generally conservative.
    • Parametric approaches or direct empirical Bayes modeling of test statistics are recommended for improved FDR control.
    • Understanding the theoretical underpinnings enhances practical application of FDR methods.