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The GEE is a technique that specifies the correlation structure between participants [ 111].
However, the exact way in which one defines the gene group, specifies the correlation structure, and quantifies differences varies from study to study.
In contrast, the covariance matrix W which specifies the correlation structure both over time and between coordinates in the evolution of θ t, may be unknown and has to be estimated.
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Thus, in order to quantitatively specify the correlation between residual ripple error and MSF error, we formulated a series of sinusoidal surface forms with variable spatial frequency and magnitude (see Fig. 1).
By considering (7a), the AR model that helps us to specify the correlation between the current state of the system and the past states is as shown below: h n = ∑ p = 1 P A p h n − p + B u n. (A.1).
GEEs allow the user to specify the correlation structure between observations.
In the UPE application, we had to specify the correlation of the age-specific part of the error increment.
We also needed to specify the correlation between baseline and subsequent results and a realistic effect size.
To specify the correlation of these focus formation groups with tumor response rates, we further analyzed the data with Spearman's rank correlation method.
After specifying the correlation coefficient measurement (Pearson's r, Spearman's rho or Gini correlation coefficient), the cut-off and the samples, user can either view the matched genes interactively, or download in batch for further analysis.
47 IMPORTANT REMARKS: The GEE [generalised estimating equations] [reference] is a technique that allows to specify the correlation structure between patients within a hospital and this approach produces unbiased estimates under the assumption that missing observations will be missing at random.
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