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In HLM, the variance is also distributed across the levels of the model: our 3-level models measure variance within students, between students within a section, and between sections.
The outcome measure, variance in normalized log(2) ratios across experiments, was dichotomized based on the observed distribution of values across probes.
Average pairwise distances (PWD) were calculated for all strains with named species within 18 genera to measure variance within species over the whole dataset in order to account for differing sample sizes, ranging from 1 to 16 strains per species (average 3.4) and 6 Symbiodinium strains per clade.
The composite measure variance increased by 6% between baseline and four months.
Because it is a relative measure, variance resulting from differences in sensitivity of actigraphs is reduced.
Changes in other nucleotide ratios were used to measure variance between predicted and covered sites not caused by methylation.
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We corrected these measurements by replacing ones where the measured variance is below the value of the variance observed in technical replicates with that value.
Repeated measures variance analysis was used to evaluate any statistically significant difference in repeated measurements in the groups.
The results confirm the dependence of variance reduction on measured variance as concluded in previous studies.
Among various performance measures, variance is the most basic one for unbiased estimators.
Data were assessed by Repeated Measures Variance Analysis via SPSS (15.0).
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