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SDMinP: a program to control the family wise error rate using step-down minP adjusted P-values.

M Obreiter1, C Fischer, J Chang-Claude

  • 1German Cancer Research Center DKFZ, Department of Clinical Epidemiology Im Neuenheimer Feld 280,69120 Heidelberg, Germany.

Bioinformatics (Oxford, England)
|May 10, 2005
PubMed
Summary

SDMinP provides fast P-value calculations for multiple testing using the Free Step-Down Resampling Method. This efficient program aids in controlling the family wise error rate for correlated and uncorrelated hypotheses.

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Area of Science:

  • Statistics
  • Bioinformatics
  • Computational Biology

Background:

  • Multiple hypothesis testing is common in scientific research.
  • Controlling the family wise error rate (FWER) is crucial for valid conclusions.
  • Existing methods for calculating adjusted P-values can be computationally intensive.

Purpose of the Study:

  • To introduce SDMinP, a user-friendly program for calculating empirical and adjusted P-values.
  • To implement an efficient algorithm based on the Free Step-Down Resampling Method for FWER control.
  • To provide a computationally feasible solution for hypothesis testing with correlated and uncorrelated data.

Main Methods:

  • Utilizes the Free Step-Down Resampling Method.
  • Implements an optimized algorithm to reduce resampling effort.

Related Experiment Videos

  • Designed to be independent of specific test statistics.

    • Main Results:

    • SDMinP enables fast calculation of P-values.
    • The program effectively controls the family wise error rate.
    • It is computationally feasible for complex datasets.

    Conclusions:

    • SDMinP offers an efficient and accessible tool for multiple hypothesis testing.
    • The program facilitates accurate P-value adjustment, improving the reliability of research findings.
    • Its flexibility with various test statistics enhances its applicability across different research fields.