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Nonparametric methods for correlation analysis are also available.

The performance of the proposed method tops other methods for correlation > 0.7 which includes majority of the cases.

Figure 5, b and c shows Wilcoxon signed rank test for all methods for correlation value between neighboring frames greater than 0.75.

For this purpose, we use two common methods for correlation: Pearson linear correlation coefficient (r) for prediction accuracy, and Spearman rank order correlation coefficient for monotonicity between the mean subjective response and estimated response [31].

Some comments concerning the critical heat flux (CHF) correlations, the usage of the direct substitution versus the heat balance methods for correlation evaluation and the definition of CHF margins considered in the round table discussion on reactor power margins are presented.

To query this network, we developed integrative methods for correlation of multi-omics datasets that elucidate global regulatory signatures.

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We test two methods for inferring Genetic Association Interaction Networks GAINN) incorporating both differential co-expression effects and differential expression effects: a generalized linear model (GLM) regression method with interaction effects (reGAIN) and a Fisher test method for correlation differences (dcGAIN).

Both the random effects model and GEE methods allow for correlation of outcomes within the same village cluster.

Unlike most regression techniques including the Poisson regression, time series methods account for correlation structure in the data, presence of trends, unit roots and various cyclical fluctuations.

The results also show that the structure counts provide a simple working method for correlations of the electrochemical reactivities of polynuclear aromatic hydrocarbons and their derivatives.

Three methods for stratification correction were used: the efficient mixed-model association expedited (EMMAX) method accounting for correlation among all individuals, a generalized least squares (GLS) method based on half-sib intraclass correlation, and a principal component analysis (PCA) approach.

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