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Permutation test for non-inferiority of the linear to the optimal combination of multiple tests

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  • Jin, Hua
  • Lu, Ying

Abstract

We proposed a permutation test for non-inferiority of the linear discriminant function to the optimal combination of multiple tests based on the Mann-Whitney statistic estimate of the area under the receiver operating characteristic curve. Monte Carlo simulations showed the proposed test had expected type I error rate and sufficient statistical power under moderate sample sizes.

Suggested Citation

  • Jin, Hua & Lu, Ying, 2009. "Permutation test for non-inferiority of the linear to the optimal combination of multiple tests," Statistics & Probability Letters, Elsevier, vol. 79(5), pages 664-669, March.
    • Handle: RePEc:eee:stapro:v:79:y:2009:i:5:p:664-669
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    References listed on IDEAS

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    1. Gürler, Ülkü & Prewitt, Kathryn, 2000. "Bivariate Density Estimation with Randomly Truncated Data," Journal of Multivariate Analysis, Elsevier, vol. 74(1), pages 88-115, July.
    2. E. S. Venkatraman, 2000. "A Permutation Test to Compare Receiver Operating Characteristic Curves," Biometrics, The International Biometric Society, vol. 56(4), pages 1134-1138, December.
    3. Martin W. McIntosh & Margaret Sullivan Pepe, 2002. "Combining Several Screening Tests: Optimality of the Risk Score," Biometrics, The International Biometric Society, vol. 58(3), pages 657-664, September.
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