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A study that evaluates different detection approaches using simulated outbreaks can be found in [ 24].
We also investigate the accuracy of the competing approaches using simulated phenotypes based on genotype data from the NFBC.
After evaluating the 3 approaches using simulated data based on the Verburg equations, the best approach will be applied to the INTERGROWTH-21st Project data to estimate GA from CRL.
Further studies should examine the performance of the proposed sentinel selection approaches using simulated data that include disease outbreaks for both respiratory diseases as well as other condemnation syndromes relevant to animal health and food safety.
After evaluating the 3 approaches using simulated data based on the Verburg equations, the best approach will be applied to the INTERGROWTH-21st Project data to estimate GA from CRL. Results of these rather "ad hoc" statistical methods correspond very closely to the "real data" for Verburg, a data set that is similar to the INTERGROWTH-21st project CRL data set.
Recently Mercaldo and colleagues published a approach to estimate the SE of predictive values for a case control approach [ 12].We compared the approach proposed by Mercaldo with five other approaches using simulated datasets based on an empirical published diagnostic study among patients suspected of deep venous thrombosis.
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While, older equation-based approaches used simulated annealing [12] genetic algorithms [18] etc., approaches with posynomial equations and geometric programming are becoming more predominant in the last decade [19, 20, 21].
Afterwards, we validate the WD approach using simulated data by generating large-scale instances of our advanced electricity CRA problem.
We evaluated this approach using simulated case-control genotype-disease associations involving two- and four-gene patterns.
More recently, Cassens et al. [12] provided a more extensive evaluation of three different network algorithms (statistical parsimony, median-joining network, and minimum-spanning network) compared to a newly developed union of maximum parsimony trees approach using simulated data over four known tree topologies.
We validate the approach using simulated data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com