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Li R, Chow M. Evaluation of Reproducibility for Paired Functional Data. J Multivar Anal. 2005;93(1):81-101doi: 10.1016/j.jmva.2004.01.010.
Li, R., & Chow, M. (2005). Evaluation of Reproducibility for Paired Functional Data. Journal of multivariate analysis, 93(1), 81-101. https://doi.org/10.1016/j.jmva.2004.01.010
Li, Runze, and Chow, Mosuk. "Evaluation of Reproducibility for Paired Functional Data." Journal of multivariate analysis vol. 93,1 (2005): 81-101. doi: https://doi.org/10.1016/j.jmva.2004.01.010
Li R, Chow M. Evaluation of Reproducibility for Paired Functional Data. J Multivar Anal. 2005;93(1):81-101. doi: 10.1016/j.jmva.2004.01.010. PMID: 19458785; PMCID: PMC2674768.
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J Multivar Anal. 2005;93(1):81-101. doi: 10.1016/j.jmva.2004.01.010.

Evaluation of Reproducibility for Paired Functional Data.

Journal of multivariate analysis

Runze Li, Mosuk Chow

Affiliations

  1. Department of Statistics, Pennsylvania State University, University Park, PA 16802-2111.

PMID: 19458785 PMCID: PMC2674768 DOI: 10.1016/j.jmva.2004.01.010

Abstract

Evaluation of reproducibility is important in assessing whether a new method or instrument can reproduce the results from a traditional gold standard approach. In this paper, we propose a measure to assess measurement agreement for functional data which are frequently encountered in medical research and many other research fields. Formulae to compute the standard error of the proposed estimator and confidence intervals for the proposed measure are derived. The estimators and the coverage probabilities of the confidence intervals are empirically tested for small to moderate sample sizes via Monte Carlo simulations. A real data example in physiology study is used to illustrate the proposed statistical inference procedures.

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