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Assessment of Agreement Between Two Methods with Replicated Observations

Author

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  • Anuradha Roy

    (University of Texas at San Antonio)

Abstract

We study the problem of assessing the agreement between two methods with any number of replicated observations using linear mixed effects (LME) model in a doubly multivariate set-up. This method can also be used in the case of unbalanced designs when number of replications for each patient is unequal, as well as when the number of replications for each patient by respective methods is unequal. This method can easily incorporate any covariate, especially categorical to substantiate its effect on the method assessment. The model is implemented using MIXED procedure of SAS. We demonstrate our method with three real data sets.

Suggested Citation

  • Anuradha Roy, 2007. "Assessment of Agreement Between Two Methods with Replicated Observations," Working Papers 0008, College of Business, University of Texas at San Antonio.
  • Handle: RePEc:tsa:wpaper:0008
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    File URL: http://interim.business.utsa.edu/wps/MSS/0008MSS-253-2007.pdf
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    More about this item

    Keywords

    Assessment of Agreement; Kronecker Product; Maximum Likelihood Estimates; Mixed Effects Model; Replicated Observations; PROC MIXED;

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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