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Related Concept Videos

Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

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A complete procedure for testing a claim about a population proportion is provided here.
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Competition-based control of the false discovery proportion.

Dong Luo1, Arya Ebadi1, Kristen Emery1

  • 1School of Mathematics and Statistics, University of Sydney, New South Wales, Australia.

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A new method, FDP-SD, rigorously controls the false discovery proportion (FDP) in knockoff and target-decoy competition analyses. This statistical approach guarantees FDP bounds, offering improved power over existing false discovery rate (FDR) control methods.

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FDP controlknockoffspeptide detectiontarget-decoy competition

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Area of Science:

  • Statistical methodology
  • Bioinformatics
  • Computational biology

Background:

  • False discovery rate (FDR) control is crucial in high-dimensional data analysis.
  • Knockoff and target-decoy competition (TDC) are common FDR control strategies.
  • Existing FDR methods can lead to a false discovery proportion (FDP) exceeding the nominal level α.

Purpose of the Study:

  • To introduce FDP-SD, a novel procedure for FDR control.
  • To rigorously control the FDP in knockoff/TDC settings.
  • To enhance statistical power compared to existing frameworks.

Main Methods:

  • Development of the FDP-SD procedure.
  • Theoretical guarantees for FDP control at a specified confidence level.
  • Comparative analysis with the Katsevich and Ramdas framework.

Main Results:

  • FDP-SD rigorously controls the FDP, bounding it by α.
  • The procedure offers improved statistical power in simulations and real-world data.
  • Demonstrated superior performance against established FDR control methods.

Conclusions:

  • FDP-SD provides a robust and more powerful alternative for FDR control.
  • This method ensures reliable control over the false discovery proportion.
  • The findings have significant implications for statistical inference in large-scale data analyses.