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All P values uncorrected for multiple variable sampling.
*All P values uncorrected for multiple variable sampling.
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We also include results of probabilistic sensitivity analyses (PSA) where inputs for multiple variables are sampled from distributions for multiple cohorts.
While these are interesting exploratory analyses, correlations of multiple variables in samples not obtained for the purpose of addressing this question should be interpreted with caution.
After adjusting for confounders in the 3 multiple variable regression models (whole sample, public and private school attendees), active caries maintained a significant association with the whole sample (OR 2.095%% CI 1.4-2.6 1.4-2.6blic school andendees (OR 3.5 95% CI 2.1-5.6), and higher SES was associated with only public school attendees' Child-ORDP (OR 1.9 95% 1.1-3.595%
While common in multiple variable copies across the sampled genomes, the role lineage specific GTP pyrophosphokinases play in accommodating the different modes of intracellular replication and intercellular spreading by different rickettsial groups is worth exploring.
The relatively low number of samples and the multiple variable analysis also have a risk of bias from multiple comparisons.
Although we strictly established the selection criteria of participants and used a more accurate sampling method, the sample size was not enough for accurate multiple variable linear regression analysis taking BMD, GAG content and structural parameters as independent variables.
ANOVA test for multiple variable comparisons was performed to confirm differences in raw E17βG signal between the four sample groups in each gravitational condition.
This study has some relevant points: the sample homogeneity (Brazilian, male, rotating shift, and mine worker) and multiple variables collected on the same sample (HRV components, obesity indices, and blood pressure).
Two-way ANOVA was used for the analysis of samples with multiple variables (for example treatment and siRNA) and one-way ANOVA was used for the rest.
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