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The results agree with the infinite data test for consistency.
Results were consistent over all subgroups, including those studies providing data from individual patient or only aggregate data (test for heterogeneity P=0.8).
There was no evidence of any differences between subgroups (see data collection and study quality assessment section), including between studies providing individual patient data or aggregate data (test for heterogeneity P=0.9).
There was also no statistically significant deviation from a multiplicative model in the trio data (test for interaction, p = 0.5) (ESM Table 4) or in the case-only analysis (3 df test; p = 0.49) (ESM Table 5); even when treating HLA-encoded risk as a continuous variable in the analysis there was no significance (1 df test, p = 0.12).
There was evidence of a linear trend in mortality over time, for both nonvariceal hemorrhage and variceal hemorrhage (P <.001), and there was minimal evidence to suggest that a linear model was inappropriate for the data (test for departure from a linear trend; nonvariceal hemorrhage, P =.061; variceal hemorrhage, P =.94).
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According to EC data, testing for skin sensitisation accounts for over 5% of the total use of commercial animal tests [3].
In effect, the analysis of modulated data tests for regional differences in the absolute amount (volume) of grey matter.
Welch's two-sample t test was also applied to the data, testing for each probeset the null hypothesis of no difference between the case and control means.
However, we still lack field data testing for a direct association between Wolbachia infection and natural viral load.
All data except VAS data were tested for normal distribution.
The Mann-Whitney test was used for non-parametric data and t test for parametric data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com