Sentence examples for statistical delineation from inspiring English sources

"Whenever possible, policy-making should not be based upon this type of arbitrary statistical delineation".

The difference between these meta-analysis results could be related to the inclusion methods employed by the different studies and their statistical delineation.

The characterization of the cluster analysis gives us a clear statistical delineation of the intensity distribution in terms of HRI-diff among different levels of hepatic steatosis.

In parallel, we apply four independent methods of molecular based species delineation: General Mixed Yule Coalescent model (GMYC), statistical parsimony, Bayesian Species Delineation (BPP) and Automatic Barcode Gap Discovery (ABGD).

This was then evaluated and refined by the consensus evidence from a selection of molecular species delineation methods, including ABGD, statistical parsimony, GMYC and Bayesian species delineation.

Each participant's MPRAGE and DTI (FA, trace) images were skull-stripped by using statistical parametric mapping followed by manual delineation and were normalized to the templates by using a 9-parameter linear algorithm and large deformation diffeomorphic metric mapping (LDDMM) (http://www.birncommunity.org/tools-catalog/large-deformation-diffeomorphic-metric-mappinglddmm/).

Comparing the results with manual delineations, we obtain overall statistical quality metrics such as sensitivity Se, specificity Sp, positive predictive value Ppv, negative predictive value Npv, accuracy Acc[14], and kappa κ[45].

Finally, we supplemented our phylogenetic analyses with probabilistic search methods that provide statistical support for the identification and orthology delineation for protein domains.

For delineation of these borders, a multivariate statistical algorithm based approach was used (Schleicher et al. 2005, 2009).

Like delineation methods based on population-level statistical approaches, our method can distinguish closely-related species that have not yet reached reciprocal monophyly at most or all of their loci; like tree-based approaches, it can yield meaningful conclusions using a number of independent markers as low as three.

Furthermore, correct and repeatable delineation of VOIs is needed to gain enough statistical power because the targets are submillimeter in size.