Comparison of concordance correlation coefficient estimating approaches with skewed data.
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.
Carrasco
Josep L
JL
Biostatistics, Public Health Department, University of Barcelona, Barcelona, Spain. jlcarrasco@ub.edu
Jover
Lluis
L
King
Tonya S
TS
Chinchilli
Vernon M
VM
D000428:Alcohol Drinking; D000465:Algorithms; D000704:Analysis of Variance; D001699:Biometry / Q000379:methods*; D003198:Computer Simulation; D016001:Confidence Intervals; D006801:Humans; D016014:Linear Models; D015233:Models, Statistical; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000706:statistics & numerical data; D016008:Statistical Distributions; D011795:Surveys and Questionnaires