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Correlated data occur because each respondent assesses different vignettes.
Data were analyzed with NCSS 2007 111) and ACCorD (Analysis of Censored and Correlated Data) (12).
Analyzing Large Correlated Data with Applications in Genetics and Classifications.
generalized estimating equations (GEEs) are designed for correlated data.
Reporting a correlation may be sufficient for consumer research, but for humanities research a list of correlated data would be essentially meaningless.
Multilevel meta-analytic models (with estimates nested within publications) can be used to account for such correlated data structures18.
Given the presence of correlated data, we applied Generalized Estimating Equation (GEE) multivariable models to determine associations.
Dudbridge, F. & Koeleman, B.P. Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies.
PLSDA is a supervised classifier well-known for its ability to process correlated data.
Principal component analysis (PCA) was shown effective in monitoring processes with highly correlated data.
The evaluation shows an important gain in efficiency, especially for weakly correlated data.
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