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Comput Methods Programs Biomed · Mar 2013
Estimation of the concordance correlation coefficient for repeated measures using SAS and R.
- Josep L Carrasco, Brenda R Phillips, Josep Puig-Martinez, Tonya S King, and Vernon M Chinchilli.
- Biostatistics Unit, Public Health Department, University of Barcelona, Barcelona, Spain. jlcarrasco@ub.edu
- Comput Methods Programs Biomed. 2013 Mar 1; 109 (3): 293-304.
AbstractThe concordance correlation coefficient is one of the most common approaches used to assess agreement among different observers or instruments when the outcome of interest is a continuous variable. A SAS macro and R package are provided here to estimate the concordance correlation coefficient (CCC) where the design of the data involves repeated measurements by subject and observer. The CCC is estimated using U-statistics (UST) and variance components (VC) approaches. Confidence intervals and standard errors are reported along with the point estimate of the CCC. In the case of the VC approach, the linear mixed model output and variance components estimates are also provided. The performance of each function is shown by means of some examples with real data sets.Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
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