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Variations of other clinical and biological parameters between tests were calculated similarly.
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Agreement between tests was calculated using the kappa statistic.
Concordance between tests was calculated using Kendall's τ coefficient.
The agreement between tests was calculated for the samples classified as positive and negative in the ELISA compared to the results of the IFAT [ 16].
Simple pairwise t-tests and Wilcoxon Rank Sum Tests were calculated between and within coding regions and UTRs by using r (https://www.r-project.org/).org/
Statistical significance between separate tests was calculated using MedCalc and Microsoft Excel 2007 software.
Percent discordance between two tests was calculated as the fraction of total paired observations for which the two methods were discordant among all paired observations.
The level of agreement between two tests was calculated as: (a + d)/ n, where a is the number of samples positive both by PCR and by culture, d is the number of samples negative by both methods and n is the total number of samples under examination [ 44, 45].
The agreement between the two tests was calculated using Cohen's kappa and its associated P-value.
To compare the effects of lesions, the difference in performance (trials/reward ratio) between preoperative and postoperative tests was calculated for each monkey.
The correlation between results from different tests was calculated using the Kendall rank correlation coefficient (or Kendall's tau coefficient) computed with R software (R Development Core Team, 2010, R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/).org/
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