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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Main Authors:	Pan, Li-Jung, 潘麗蓉
Other Authors:	Tsai, Miao-Yu
Format:	Others
Language:	zh-TW
Published:	2016
Online Access:	http://ndltd.ncl.edu.tw/handle/42241853604956125659

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spelling	ndltd-TW-104NCUE55060042017-08-27T04:30:15Z http://ndltd.ncl.edu.tw/handle/42241853604956125659 Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements 變異數成份於長期追蹤重複資料之一致性相關係數估計 Pan, Li-Jung 潘麗蓉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. Tsai, Miao-Yu 蔡秒玉 2016 學位論文 ; thesis 41 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	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.
author2	Tsai, Miao-Yu
author_facet	Tsai, Miao-Yu Pan, Li-Jung 潘麗蓉
author	Pan, Li-Jung 潘麗蓉
spellingShingle	Pan, Li-Jung 潘麗蓉 Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
author_sort	Pan, Li-Jung
title	Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
title_short	Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
title_full	Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
title_fullStr	Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
title_full_unstemmed	Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
title_sort	estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements
publishDate	2016
url	http://ndltd.ncl.edu.tw/handle/42241853604956125659
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Estimating intra-, inter- and total concordance correlation coefficients through variance components for longitudinal repeated measurements

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