Correlation Coefficients for a Study with Repeated Measures
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) cor...
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| Veröffentlicht in: | Computational and mathematical methods in medicine 2020, Vol.2020 (2020), p.1-11 |
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| creator | Shan, Guogen Jiang, Tao Zhang, Hua |
| description | 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. |
| doi_str_mv | 10.1155/2020/7398324 |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; Wiley-Blackwell Open Access Titles; PubMed Central; Alma/SFX Local Collection |
| subjects | Alzheimer Disease - diagnostic imaging Alzheimer Disease - psychology Computational Biology - methods Computer Simulation Cross-Sectional Studies Data Interpretation, Statistical Databases, Factual - statistics & numerical data Disease Progression Humans Longitudinal Studies Models, Statistical Neuroimaging - statistics & numerical data |
| title | Correlation Coefficients for a Study with Repeated Measures |
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