Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
碩士 === 國立彰化師範大學 === 統計資訊研究所 === 104 === In clinical studies, assessing agreement of multiple reading plays an important role in the evaluation of dependent continuous measurement scales. The replicated measurements may be produced by multiple observers or methods for each subject. In this paper, we...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/42241853604956125659 |
| Summary: | 碩士 === 國立彰化師範大學 === 統計資訊研究所 === 104 === In clinical studies, assessing agreement of multiple reading plays an important role in the evaluation of dependent continuous measurement scales. The replicated measurements may be produced by multiple observers or methods for each subject. In this paper, we propose three indices of intra-, inter- and total concordance correlation coefficients (CCCs) among multiple observers to evaluate agreement for continuous replicated reading. Furthermore, the three indices of agreement through variance components (VC) from a three-way linear mixed model (LMM) with consideration of the correlation structure of longitudinal repeated measurements are developed as well. Simulation studies are conducted to compare the performance of VC and U-statistics approaches. An application of conformity between three optometric devices is used for illustration.
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