Statistical analysis showed no significant difference between estimates generated using model- or design-based stereological methods compared to empirically-derived counts using serial reconstruction.
We also use divergence time estimates generated using fossil calibrations to qualitatively assess the phylogeographic implications of evolution within the group.
These 'true' connectivity measures were then compared to estimates generated using the connectivity metrics, employing the simulated landscapes as cost-surfaces.
A follow-up case record review of subjects (N = 175) in a recent experimental study provides the opportunity to revisit original survival estimates and compare them to estimates generated using nearly complete data.
These experimental results were compared with the estimates generated using common correlations, and it was found that, in all cases, the measured diffusion coefficients were significantly lower than the estimated.
We estimate the variances of the MLEs (PMLEs) using the variances of estimates generated using the bootstrap samples.
PCE concentration estimates generated using the Webler-Brown model were moderately correlated with measured water concentrations.
Our estimates generated using Mendelian randomization are unbiased only if the SNPs analyzed do not affect cancer risk through causal pathways other than those involving TL.
Current exposure estimates had a higher correlation with PCE concentrations in water samples (Spearman correlation coefficient = 0.65, p < 0.0001) than estimates generated using the prior method (0.54, p < 0.0001).
In this section, we first explore some applications of the method proposed, then compare its results with estimates generated using the genotypes obtained through the microarray as the true genotypes.
