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In this study, variances of mass and stiffness matrices are utilized to evaluate damage localization process.
In this meta-analysis, between study variances are assumed for (V 1, k a, k e).
From each one we took the number of studies M, within study variances σ and the DL heterogeneity estimate.
Therefore, in order to study more closely the relationships between variant haplogroups of mtDNA and pathologies, we have to study variances in mitochondrial metabolic phenotypes.
The elements of R, the study variances, are regarded as known [ 8], although in reality they are estimated from the n independent studies using standard methods.
(V 1, k a, k e) had lower 95% coverage probabilities than (K 12, K 21) did, because (V 1, k a, k e) were assumed to have between study variances, but (K 12, K 21) didn't have.
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R 2 was calculated to explain the percentage of between study variance explained by any particular co-variate.
τ2 was a measure of the between study variance and was defined as 0 if the Q value was less than the expected variance (Number of studies -1).
Within study variance.
In this study, variance is maximised in two ways.
The estimate of between study variance (heterogeneity) was moderate; τ=0.102.
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