Assessment of Agreement Between Two Methods with Replicated Observations
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.
|Date of creation:|
|Date of revision:|
|Contact details of provider:|| Postal: 6900 North Loop 1604 West, San Antonio, TX 78249-0631|
Web page: http://business.utsa.edu/wps
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:tsa:wpaper:0008. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Eddie Salinas)
If references are entirely missing, you can add them using this form.