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The correlation between the estimated fixed-effect estimator and the efficiency score was −0.1631, and not statistically significant, suggesting statistical independence between the two estimates.
The independent action (IA) model depends on statistical independence between exposures, i.e. each exposure acts independently of the other exposures but they all contribute to the outcome.
The most popular and successful algorithm for solving determined BSS problem is independent component analysis (ICA) [4], which assumes statistical independence between the sources and estimates a demixing matrix (the inverse system of the mixing process).
First, the genome browser supports dynamic estimation of local LD statistics (i.e. the metric r) for inferring statistical independence between local association signals and one or more SNP s) of interest.
In addition to the assumption of statistical independence between frequency bins, 2R+1 successive frames are also assumed to be independent.
IVA assumes both statistical independence between sources and non-Gaussian spherical distribution for vector variables.
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Cox proportional-hazards regression analysis was performed to test the statistical independence and significance between pathological, molecular and clinical variables.
When RCA ( p i, c j ) = 1, it means that X ( p i, c j ) is exactly the expected value under the assumption of statistical independence, i.e. the connection between customer c j and product p i has the expected weight.
As such, the main assumption of statistical independence of ICA, should allow blind source separation between these different signal classes, without any a priori information or model-dependent analysis.
A D' value of 0 indicates complete linkage equilibrium, which implies frequent recombination between the two markers and statistical independence under principles of Hardy-Weinberg equilibrium.
The essence behind independent component analysis is the assumption of statistical independence of the sources.
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