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- Title
MODELING CONCORDANCE CORRELATION COEFFICIENT FOR LONGITUDINAL STUDY DATA. .
- Authors
YAN MA; WAN TANG; QIN YU; TU, X. M.
- Abstract
Measures of agreement are used in a wide range of behavioral, biomedical, psychosocial, and healthcare related research to assess reliability of diagnostic test, psychometric properties of instrument, fidelity of psychosocial intervention, and accuracy of proxy outcome. The concordance correlation coefficient (CCC) is a popular measure of agreement for continuous outcomes. In modern-day applications, data are often clustered, making inference difficult to perform using existing methods. In addition, as longitudinal study designs become increasingly popular, missing data have become a serious issue, and the lack of methods to systematically address this problem has hampered the progress of research in the aforementioned fields. In this paper, we develop a novel approach to tackle the complexities involved in addressing missing data and other related issues for performing CCC analysis within a longitudinal data setting. The approach is illustrated with both real and simulated data.
- Subjects
DIAGNOSIS; COEFFICIENT of concordance; STATISTICAL correlation; PROBABILITY theory; MISSING data (Statistics); U-statistics; LONGITUDINAL method
- Publication
Psychometrika, 2010, Vol 75, Issue 1, p99
- ISSN
0033-3123
- Publication type
Article
- DOI
10.1007/S11336-009-9142-Z