Comput Methods Programs Biomed - Estimation of the concordance correlation coefficient for repeated measures using SAS and R.

Tópicos

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Resumo

The 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.

Resumo Limpo

concord correl coeffici one common approach use assess agreement among differ observ instrument outcom interest continu variabl sas macro r packag provid estim concord correl coeffici ccc design data involv repeat measur subject observ ccc estim use ustatist ust varianc compon vc approach confid interv standard error report along point estim ccc case vc approach linear mix model output varianc compon estim also provid perform function shown mean exampl real data set

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