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Their detection relied on the use of a variance component approach that does not assume fixation.
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We note that use of a bootstrap variance estimate in this case may alleviate these concerns.
Moreover confidence intervals obtained using Poisson and Cox models are wider than those obtained from log-binomial model, requiring the use of a robust variance estimator.
The use of realized variance as an observed variable in the state space model is also evaluated.
In particular, the noise level we use a variance of and millidegree2 in range and bearing, respectively.
Arrays were then background corrected and normalized using the GCRMA function, and then filtered to remove genes in the lowest 10% of variance using a variance filter.
Our use of the same variance estimation provides a consistent comparison.
Significances of LMMs were calculated using an analysis of variance using a likelihood ratio test (Fitzmaurice et al. 2004).
ICC uses components of variance from a variance analysis and assesses the agreement of quantitative measurements in terms of consistency and conformity [ 40, 41].
We use a sum of variance to detect the user activity.
Morphometric and stereologic data were analyzed statistically using analysis of variance, a parametric test, followed by Tukey test.
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