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

Truncated product method for combining P-values.

D V Zaykin1, Lev A Zhivotovsky, P H Westfall

  • 1Statistical Genetics Group, Department of Bioinformatics, GlaxoSmithKline Inc., Research Triangle Park, North Carolina, USA.

Genetic Epidemiology
|January 15, 2002
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

Global diversity analysis of plant-associated <i>Pseudopithomyces</i> fungi reveals a new species producing the toxin associated with facial eczema in livestock: <i>Pseudopithomyces toxicarius sp. nov</i>.

Studies in mycology·2026
Same author

<i>Fusarium</i>: more than a node or a foot-shaped basal cell.

Studies in mycology·2021
Same author

Phylogenetic relationships of eight new <i>Dacrymycetes</i> collected from New Zealand.

Persoonia·2017
Same author

Fungal Planet description sheets: 558-624.

Persoonia·2017
Same author

ESTIMATION OF GENE FLOW FROM F-STATISTICS.

Evolution; international journal of organic evolution·2017
Same author

ON THE EVOLUTION OF PHENOTYPIC PLASTICITY IN A SPATIALLY HETEROGENEOUS ENVIRONMENT.

Evolution; international journal of organic evolution·2017

This study introduces a novel P-value combination method using a product of significant P-values. This approach enhances statistical power for detecting deviations in hypothesis testing, particularly in large-scale exploratory analyses.

Area of Science:

  • Biostatistics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Combining P-values from multiple hypothesis tests is crucial for statistical inference.
  • Existing methods may lack power or flexibility in complex scenarios.
  • Large-scale studies generate numerous P-values requiring efficient summarization.

Purpose of the Study:

  • To develop a new procedure for combining P-values from multiple hypothesis tests.
  • To enhance the power of detecting departures from the overall null hypothesis.
  • To provide a method applicable to both independent and dependent tests.

Main Methods:

  • A novel procedure involves taking the product of P-values below a specified cut-off.
  • The probability of this product under the overall null hypothesis is evaluated.

Related Experiment Videos

  • The method is extended to handle non-independent tests and includes post-hoc adjustments.

    • Main Results:

    • The proposed P-value combination procedure demonstrates high power in simulations.
    • The method is effective for exploratory analyses with a large number of tests (L).
    • Applications include genome-wide association studies and meta-analyses, addressing publication bias.

    Conclusions:

    • The new P-value combination method offers a powerful tool for hypothesis testing.
    • It is particularly useful in large-scale exploratory research and meta-analysis.
    • Post-rejection adjustment procedures provide robust error control for subsets of tests.