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This is convincingly supported by using several statistical tests.
The performance of the proposed methodology was evaluated by using several statistical validation parameters.
In order to evaluate the day by day performance of these models, a statistical analysis was performed by using several statistical indicators of mean absolute bias error, root mean square error, normal root mean square error, test statistic, standard deviation and coefficient of determination.
To ensure that the assay can be used in high-throughput screening, we assessed its accuracy by using several statistical parameters (Table 2).
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The external validation of the models was further verified using several statistical criteria recommended by researchers.
External validations as well as sensitivity analysis are further carried out using several statistical criteria recommended by researchers.
Further, the external validation of the models is verified using several statistical criteria recommended by other researchers.
Measured peak VO2 was then compared with the VO2 predicted by the ACSM, FAST and FOSTER equations, using several statistical methods.
This article was reviewed by Lee S. Katz, Meningitis and Vaccine Preventable Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA USA (nominated by I. King Jordan) This paper uses several statistical methods to uncover and characterize recombination events in the history of C. trachomatis.
We used several statistical methods to achieve this goal.
We analyzed the numbers using several different statistical approaches, and we arrived at similar conclusions regardless of which method we used.
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