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Approximate Sample Size Calculations with Microarray Data: An Illustration

Author

Listed:
  • Ferreira José A.

    (AMC - University of Amsterdam)

  • Zwinderman Aeilko

    (AMC - University of Amsterdam)

Abstract

We outline a method of sample size calculation in microarray experiments on the basis of pilot data and illustrate its practical application with both simulated and real data. The method was shown to be consistent (as the number of `probed genes' tends to infinity) under general conditions in an earlier, more `theoretical' companion paper. Its implementation requires the values of test statistics, the sample size with which the statistics are computed, and the knowledge of their distribution under the null hypothesis.

Suggested Citation

  • Ferreira José A. & Zwinderman Aeilko, 2006. "Approximate Sample Size Calculations with Microarray Data: An Illustration," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 5(1), pages 1-18, October.
    • Handle: RePEc:bpj:sagmbi:v:5:y:2006:i:1:n:25
    DOI: 10.2202/1544-6115.1227
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    Cited by:

    1. von Schroeder, Jonathan & Dickhaus, Thorsten, 2020. "Efficient calculation of the joint distribution of order statistics," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    2. Ferreira José A. & Berkhof Johannes & Souverein Olga & Zwinderman Koos, 2009. "A Multiple Testing Approach to High-Dimensional Association Studies with an Application to the Detection of Associations between Risk Factors of Heart Disease and Genetic Polymorphisms," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-58, January.

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