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Differences in MSE between methods were tested using paired t-tests while assuming normality.
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Differences between the two methods were tested using the chi-squared test.
The differences between the mean results of the methods were tested for statistical significance using a paired t-test.
When agreement between the two methods was tested the disagreement fraction was 9%, mainly due to "false positive" links when demographic details only were used.
For each observer separately, significance of differences between the SDDs of three methods was tested with Levene's test for homogeneity of variances (Statistical Software Package SPSS for Windows, version 12).
Agreement between CT and P V curve methods was tested with the Bland and Altman method [ 23]: the bias was expressed as the mean difference of derecruited volume between the P V curve method and the average value of the P V curves and CT methods; the limits of agreement were defined as 2 SD.
The mean correlation coefficient was calculated for each method, and differences between for each amplification method were tested for statistical significance.
The association between the detection rate of the cervical lesion and age, and the potential effect modification between age and screening method were tested using likelihood ratio statistics.
This method was tested only in Hungary.
Consequently, for VO2, between-method differences were tested for the sum of the slopes of the linear and quadratic terms of Actigraph counts (representing the total 'effect' of Actigraph counts).
Consequently, for VO2, between-method differences were tested for the sum of the slopes of the linear and quadratic terms of Actigraph counts (representing the 'effect' of Actigraph counts).
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