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The models tested were binary, being either completely unstable or completely stable, and this is not the case in clinic practice.
Thus, the statistical models tested were allowed to assign the coefficients (for three of the methods used in this study, see the Additional file 1) or proximity measures (for random forest, the fourth method tested in this study as shown in the Additional file 1) most appropriate for each probe, with the intention of increasing the overall accuracy of the tested models.
Both models tested were significant in discriminating for OS.
Models tested were: M0 (one ratio), M1a (nearly neutral), M2a (positive selection), M3 (discrete), M7 (beta) and M8 (beta + ω).
Models tested were selected using a modified version of Hierarchy 1 in MrModeltest 2.2 [ 49], enforcing or not a molecular clock.
Variables included in the different models tested were selected based on their statistical significance in the univariate analysis and also on their clinical relevance (e.g., age and comorbidity).
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The full list of different models tested are shown in Table S1 (see Supporting Information), along with AIC and BIC scores.
The standard error of the models tested was 0.07.
In sum, the models tested are as follows: Uninformative priors Neyer & Asendorpf, 2001 | Uninf.
Conners ADHD inattention subscale Fit statistics for the twin models tested are given in Table 4.
Accoring to the benchmark, the model tested was using an Exynos 8890 processor, which has been developed by Samsung itself.
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