GraphPad Prism 6.0 (GraphPad Software, Inc., San Diego, CA) was used for descriptive statistics of raw Ct data and to calculate variance between PCa and BPH groups.
To visualize the effects of low-velocity layers (accretionary prism and seawater), we also calculated variance reductions between sJIVSM and JIVSM (Fig. 5c).
We then calculated the variance between the measurements (interobserver and intraobserver) by applying the Gage's variance partition method.
We can subsequently calculate the variance between replicates to give an estimate of variability over the entire course of the test line.
When possible, a nested ANOVA method was used to calculate the variance between experiments and the variance between groups and to draw comparisons.
It is calculated as between-cluster variance divided by total variance, where total variance = within-cluster variance + between-cluster variance.
We then calculated within- to between-home variance ratios and intrahome correlation coefficients for endotoxin sampled from the floor of the subject's bedroom, the family room, and the kitchen dust samples.
We calculated the between-imputation variance of the estimated log hazard ratios, defined as the mean (across simulations) of the variance of the log hazard ratio estimates from the 10 imputations per data set.
Standard errors of the mean were calculated from the variance between replicates.
To quantify the level of co-localization of the various components in the spots, we calculated the variance of Pearson coefficient between Myosin 1E and other proteins in lamellipodial region for one minute of spreading (Fig. 2G J).
Quantifying this aspect of data quality is challenging because simply calculating the between-sample variance (i.e. the average interiteration variability) leaves open the possibility that interindividual differences occur simply because one individual saccades more around the screen than does another (see the related discussion in Holmqvist et al., 2011, chap. 11).
