TY - JOUR
T1 - Comparison of concordance correlation coefficient estimating approaches with skewed data
AU - Carrasco, Josep L.
AU - Jover, Lluis
AU - King, Tonya S.
AU - Chinchilli, Vernon M.
PY - 2007/7/1
Y1 - 2007/7/1
N2 - The concordance correlation coefficient (CCC) is an index that assesses the agreement between continuous measures made by different observers. At least four methods are used to estimate the CCC: two (Lin's method, Variance Components) which are defined on the basis that data are normally distributed, and the two others (U-statistics, GEE) which do not assume any particular distribution of the data. Here the four methods are compared with skewed data from a model in which the subject means follow a log-normal distribution while the within-subject variability is assumed to be normally distributed. An example of alcohol consumption is considered and a simulation study is performed.
AB - The concordance correlation coefficient (CCC) is an index that assesses the agreement between continuous measures made by different observers. At least four methods are used to estimate the CCC: two (Lin's method, Variance Components) which are defined on the basis that data are normally distributed, and the two others (U-statistics, GEE) which do not assume any particular distribution of the data. Here the four methods are compared with skewed data from a model in which the subject means follow a log-normal distribution while the within-subject variability is assumed to be normally distributed. An example of alcohol consumption is considered and a simulation study is performed.
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U2 - 10.1080/10543400701329463
DO - 10.1080/10543400701329463
M3 - Article
C2 - 17613647
AN - SCOPUS:34347393272
SN - 1054-3406
VL - 17
SP - 673
EP - 684
JO - Journal of Biopharmaceutical Statistics
JF - Journal of Biopharmaceutical Statistics
IS - 4
ER -