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Time-related issues can be of concern, especially for simulation studies, where a large number of replications needed to be analyzed to assess the performances of statistical methods.
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Often, the performance of statistical methods can be improved by combining them with linguistic analysis techniques [24 27].
The performance of statistical methods for modeling resource selection by animals is difficult to evaluate with field data because true selection patterns are unknown.
Simulation studies are routinely used to assess the performance of statistical methods.
Data normalization has substantial impact on the performance of statistical methods for DE analysis of sequence count data.
In the current study, we investigated the performance of statistical methods for DTC, AITC, frequentist and Bayesian MTC.
Empirical studies seeking to verify the performance of statistical methods frequently lack the capabilities of simulation-based analysis, where the accuracy of parametric estimation can be measured.
The performance of statistical methods that detect GxE in complex human diseases, including sensitivity, specificity and ability to handle linked loci, should be tested against simulated samples of long genome sequences with realistic disease models and LD patterns.
KBC participated in the formulation of the study, choice of statistical methods, and performance of statistical analyses.
We propose that the evaluation of the building performance should be based on thorough application of statistical methods.
Furthermore, we made use of statistical methods to improve the performances of systems by successfully dealing with the textureless objects.
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CEO of Professional Science Editing for Scientists @ prosciediting.com