Sentence examples for methods for stratification from inspiring English sources

As no methods for stratification in similar contexts (social networks and software engineering) was found in the technical literature, its feasibility was evaluated through two distinct approaches: the hierarchical clustering analysis presented in the previous section (5.1) and the analysis through digraphs, aiming at identifying the most strongly connected groups.

Methods for stratification correction could have removed some true effects associated with genetic selection.

Current methods for stratification correction in association analysis do not separate drift and hitchhiking from selection.

All three methods for stratification correction reduced the number of significant effects.

For protein percentage, the favorable allele of Hapmap24324-BTC-062449), #1 by all methods for stratification correction and by the AIPL effect size distribution, had nearly identical frequency in both elite and average, about 0.967 in each cluster.

The GLS and EMMAX methods for stratification correction were little affected by the removal of the elite cows, further indicating that the SNP effects removed by stratification corrections were largely associated with the elite cows.

For mixing in stably stratified large enclosures, the BMIX++ code (Berkeley mechanistic MIXing code in C++) has been developed to implement a highly efficient analysis method for stratification where the ambient fluid volume is represented by one-dimensional (1-D) transient partial differential equations and substructures (such as free or wall jets) are modeled with 1-D integral models.

Therefore, we developed a method for stratification of data and evaluated the method using previously characterized cases.

The combination of genetics and functional neuroimaging provides a potentially useful method for stratification and identification of candidate markers, in future clinical trials against cognitive decline in Parkinson's disease.

New methods for risk stratification are needed to reduce the burden of CVD among patients with diabetes.

Future studies are required first to validate the scoring system in a large independent data cohort, and to compare presently available clinical methods for risk stratification.