Abstract:
:The classical concordance correlation coefficient (CCC) to measure agreement among a set of observers assumes data to be distributed as normal and a linear relationship between the mean and the subject and observer effects. Here, the CCC is generalized to afford any distribution from the exponential family by means of the generalized linear mixed models (GLMMs) theory and applied to the case of overdispersed count data. An example of CD34+ cell count data is provided to show the applicability of the procedure. In the latter case, different CCCs are defined and applied to the data by changing the GLMM that fits the data. A simulation study is carried out to explore the behavior of the procedure with a small and moderate sample size.
journal_name
Biometricsjournal_title
Biometricsauthors
Carrasco JLdoi
10.1111/j.1541-0420.2009.01335.xsubject
Has Abstractpub_date
2010-09-01 00:00:00pages
897-904issue
3eissn
0006-341Xissn
1541-0420pii
BIOM1335journal_volume
66pub_type
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