کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
469026 | 698279 | 2013 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Estimation of the concordance correlation coefficient for repeated measures using SAS and R Estimation of the concordance correlation coefficient for repeated measures using SAS and R](/preview/png/469026.png)
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.
Journal: Computer Methods and Programs in Biomedicine - Volume 109, Issue 3, March 2013, Pages 293–304