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Optimization of Two-Stage Genetic Designs Where Data Are Combined Using an Accurate and Efficient Approximation for Pearson's Statistic

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  • József Bukszár
  • Edwin J. C. G. van den Oord

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  • József Bukszár & Edwin J. C. G. van den Oord, 2006. "Optimization of Two-Stage Genetic Designs Where Data Are Combined Using an Accurate and Efficient Approximation for Pearson's Statistic," Biometrics, The International Biometric Society, vol. 62(4), pages 1132-1137, December.
    • Handle: RePEc:bla:biomet:v:62:y:2006:i:4:p:1132-1137
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00583.x
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    References listed on IDEAS

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    1. Jaya M. Satagopan & E. S. Venkatraman & Colin B. Begg, 2004. "Two-Stage Designs for Gene–Disease Association Studies with Sample Size Constraints," Biometrics, The International Biometric Society, vol. 60(3), pages 589-597, September.
    2. Chen-An Tsai & Huey-miin Hsueh & James J. Chen, 2003. "Estimation of False Discovery Rates in Multiple Testing: Application to Gene Microarray Data," Biometrics, The International Biometric Society, vol. 59(4), pages 1071-1081, December.
    3. John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498, August.
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