The
Variability Estimates
section contains the results of a
distribution
and multivariate analysis for each sample.
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These show the distributions of each of the
variance
component estimates from the fitted
ANOVA
models, including
quantiles
and summary statistics. You can see which variance components are explaining the most variability across Findings (or
adverse event
) tests.
RSquare
is an approximation to the proportion of variability explained by the
model
. The quantiles can be useful when conducting a
power
and
sample size
exercise, as they provide values to use when running the
Mixed Model Power
process.
See
Distribution
for more information.
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Multivariate
Analysis.
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These plots provide a multivariate analysis of the variance component estimates, including their correlations and a
scatterplot
matrix. These reveal interrelationships between the components and how they compete to explain variability.
See
Scatterplot Matrix
for more information.