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ORs were also meta-analysed for both cohorts using a fixed effects analysis.
We performed full pairwise genome scans for both cohorts using a fast tool BiForce (12) and examined SNP interactions in three categories with and without marginal SNPs and local interactions, and using specific significance thresholds derived following the procedures previously defined (21, 24).
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Immunohistochemistry (IHC) was performed on both cohorts using an antibody against Ki-67 (MIB1, 1 : 400; DAKO, Hamburg, Germany) according to a quality controlled and accredited (DAkkS) protocol.
The framework supports the selection of cohorts and a three-dimensional visualisation to compare the cohorts using a variety of performance metrics.
Cumulative hazards were compared between the different cohorts using a Nelson Aalen plot.
Prospectively followed cohorts using a standardized protocol in diagnosis and treatment have rarely been reported.
Statistical analyses included unmatched and matched cohorts using a propensity score analysis.
Demographic features were compared between the Gln+ and Gln- cohorts using a Chi-square test.
Data were randomised into two equal cohorts using a double random number sort.
The WAI: The tests of normality for both cohorts, using Kolmogorov-Smirnov statistic, similar to the PPVT test, showed that the assumption of normality was violated (p < 0.001).
The PPVT: The tests of normality for both cohorts, using Kolmogorov-Smirnov statistic, indicated that the assumption of normality was violated (p < 0.001).
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