Correlation Coefficients for a Study with Repeated Measures
Joint Authors
Shan, Guogen
Zhang, Hua
Jiang, Tao
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Repeated measures are increasingly collected in a study to investigate the trajectory of measures over time.
One of the first research questions is to determine the correlation between two measures.
The following five methods for correlation calculation are compared: (1) Pearson correlation; (2) correlation of subject means; (3) partial correlation for subject effect; (4) partial correlation for visit effect; and (5) a mixed model approach.
Pearson correlation coefficient is traditionally used in a cross-sectional study.
Pearson correlation is close to the correlations computed from mixed-effects models that consider the correlation structure, but Pearson correlation may not be theoretically appropriate in a repeated-measure study as it ignores the correlation of the outcomes from multiple visits within the same subject.
We compare these methods with regard to the average of correlation and the mean squared error.
In general, correlation under the mixed-effects model with the compound symmetric structure is recommended as its correlation is close to the nominal level with small mean square error.
American Psychological Association (APA)
Shan, Guogen& Zhang, Hua& Jiang, Tao. 2020. Correlation Coefficients for a Study with Repeated Measures. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139566
Modern Language Association (MLA)
Shan, Guogen…[et al.]. Correlation Coefficients for a Study with Repeated Measures. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1139566
American Medical Association (AMA)
Shan, Guogen& Zhang, Hua& Jiang, Tao. Correlation Coefficients for a Study with Repeated Measures. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139566
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139566