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A new functional representation of broad sense agreement

Author

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  • Wei, Bo
  • Dai, Tian
  • Peng, Limin
  • Guo, Ying
  • Manatunga, Amita

Abstract

We derive a new functional representation of Broad Sense Agreement (BSA) index that evaluates the agreement/alignment between a continuous measurement and an ordinary measurement. Using this result, we develop an alternative BSA estimator, which can offer significant numerical advantages.

Suggested Citation

  • Wei, Bo & Dai, Tian & Peng, Limin & Guo, Ying & Manatunga, Amita, 2020. "A new functional representation of broad sense agreement," Statistics & Probability Letters, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:stapro:v:158:y:2020:i:c:s0167715219302652
    DOI: 10.1016/j.spl.2019.108619
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    References listed on IDEAS

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    1. Ying Guo & Amita K. Manatunga, 2009. "Measuring Agreement of Multivariate Discrete Survival Times Using a Modified Weighted Kappa Coefficient," Biometrics, The International Biometric Society, vol. 65(1), pages 125-134, March.
    2. Qiu, Zhiping & Peng, Limin & Manatunga, Amita & Guo, Ying, 2019. "A smooth nonparametric approach to determining cut-points of a continuous scale," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 186-210.
    3. Lin L. & Hedayat A. S. & Sinha B. & Yang M., 2002. "Statistical Methods in Assessing Agreement: Models, Issues, and Tools," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 257-270, March.
    4. Ying Guo & Amita K. Manatunga, 2007. "Nonparametric Estimation of the Concordance Correlation Coefficient under Univariate Censoring," Biometrics, The International Biometric Society, vol. 63(1), pages 164-172, March.
    Full references (including those not matched with items on IDEAS)

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