Sentence examples for estimates for evaluating from inspiring English sources
Particularly, local-pooled-error estimates for evaluating significance of each gene's differential expression have been shown to effectively identify significant differential expression patterns with a small number of replicated arrays [ 50].
Crude and adjusted odds ratios (ORa) were estimated for evaluating the association between each viral type's DNA load and the risk of cervical lesions occurring.
The exposure assessment was derived from modeled estimates rather than measurements, increasing error propagation in the estimates used for evaluating the association with atopy outcomes.
The package also provides extended functionality for estimating confidence intervals for estimated model parameters and for evaluating the stability of the estimated evolutionary mixture models.
Thus, a two-way RWR approach (twRWR) is proposed to search the genes involved in two interactive pathways and estimate their enrichment for evaluating the pathway crosstalk.
We also estimate a probability distribution for evaluating the quality (closeness to optimality) of an allocation delivered by a heuristic search procedure such as HSP.
Nevertheless, these scores, when considered together, enable a framework, albeit an imperfect one, for evaluating estimated supertrees.
To estimate the sample size for evaluating the ultimate outcome indicator of the intervention package, "the reduction in the prevalence of D&A in facilities" we will use an estimated prevalence of 0.2 of women not using facilities due to provider related reasons, based on literature and regional experience where an additional study on D&A is also taking place.
The software irene (Integrated Resources for Evaluating Numerical Estimates) is a data analysis tool designed to provide easy access to statistical techniques for use in model evaluation.
The class library IRENE_DLL (Integrated Resources for Evaluating Numerical Estimates – Dynamic Link Library) is a repository of statistical methods and procedures designed to properly handle comparisons between model estimates and actual measurements.
