The basic difference between the determination of the BMD and the T25 calculation, is that the BMD is accomplished through dose-response modelling that considers all available information on the dose response curve, whereas the T25 is calculated from a single data point [ 29].
There were no differences between the determinations of both formulations in the cornea and aqueous humor at any time point.
The differences between the determinations of the PPS tumor locations were then compared.
The samples were analyzed in duplicate and the samples were re-analyzed a third time if the difference between the two determinations were higher than 30%%.
The random errors were calculated according to Dahlberg's formula (Se2 = Σd2/2n) [27], where Se2 is the error variance and d is the difference between two determinations of the same variable and the systematic errors with dependent t tests, at P < 0.05 [28 30].
Random errors were calculated according to Dahlberg's formula (Se2 = ∑d 2/2n) [18], where S 2 is the error variance and d is the difference between 2 determinations of the same variable and the systematic errors were evaluated with dependent t tests, at P < 0.05 [19].
Determination of statistical significant difference between the sensitivities determined for the different extraction methods using the five amplification methods was performed by the Kruskal-Wallis test, followed by the Mann-Whitney U test.
For the irregularity indexes, random errors were calculated according to Dahlberg's formula (Se2 = Σd2/2n), where Se2 is the error variance and d is the difference between two determinations of the same variable [33].
Systematic errors were evaluated with dependent t tests at p < 0.05, and casual errors were calculated according to Dahlberg's formula (Se2 = Σd2/2n), where Se2 is the error variance and d is the difference between two determinations of the same variable [25].
The difference between the coefficient of determination (R-squared) and adjusted R-squared is very small, which suggests very good model specification (that is, no omitted or unnecessary variables in the model).
