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Activity Number: 523
Type: Contributed
Date/Time: Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #304422
Title: Assessment of Measurement Agreement for Functional/Longitudinal Data
Author(s): Mina Yoo*+ and Runze Li
Companies: Penn State University and Penn State University
Address: 1010 stratford court, State College, PA, 16801,
Keywords: LONGITUDINAL DATA ; MEASUREMENT AGREEMENT ; REPRODUCIBILITY ; SIMIVARYING COEFFICIENT MODEL ; LOCAL LINEAR ESTIMATOR ; NONPARAMETRIC METHOD
Abstract:

Assessment of agreement encompasses on a variety of applications including acceptability or reproducibility between processes, instruments, assays or raters. When an assay is developed, it is of interest to assess whether or not it is acceptable via assessing the agreement between observations and their target values. Much work has been done on measurement agreement for independent data. Nowadays, many approaches are suggested for repeated measurements/longitudinal data taking into account within-subject correlation. Generally, they are assumed a few reading per subject in longitudinal data analysis. However, the longitudinal models mentioned above fail to explain the data which observations are measured densely, and have curvature change over time in subjects. Therefore we propose the functional type measurement agreement for longitudinal/functional data.

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