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To determine whether the correlation between corneal power (K) and axial length (AL) can be used for intraocular lens (IOL) power calculation when biometric data are incomplete.
To determine whether the correlation was consistently positive during the delay period, we analyzed the sum of the correlation values across time-shifts during the delay period and found that it was significantly different from zero for the 0.3 4 Hz sub-band of PMd data (t-tests with p<0.0001 for both monkeys).
We simulated human demography under a model in which the recombination rate was the same for all the simulated populations, and we sought to determine whether the correlation between genetic distance and inferred recombination similarity between simulated populations was similar to the observed in empirical data.
The Pearson correlation test was used to determine whether the correlation between two parameters was significant.
TRE analysis was used to determine whether the correlation clustering could be interpreted in terms of the actions of networks of transcription factors.
We performed a multivariate Cox regression analysis to determine whether the correlation of C/EBPα with patient survival was confounded by underlying clinical parameters.
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We then use Principal Component Spectral Analysis of the SNP-SNP Covariance Matrix to compare the measured eigenvalues to a Null distribution of eigenvalues on Gaussian datasets to determine whether the correlations in the data (due to longevity) arises from some property of the mutations themselves or whether they are due to population structure.
In order to determine whether the correlations between FE65 or Teashirt3 expression and caspase-4 expression were driven by disease per se, we also carried out exploratory analyses and separately analyzed the correlations for controls and for probable or definite AD (Fig. 7E).
In addition, to determine whether the correlations between time points deteriorated over time, we assessed Spearman correlations between each set of time points (e.g., time 1/time 2 and time 1/time 3).
The current study was carried out to determine whether the correlations between cord blood growth factors and hormone levels and stem cell populations are robust in a larger, more broadly based, population sampling.
Determining whether the correlation level is low enough to consider relocations as being statistically independent is relatively easy [30].
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