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The size of the ROIs was not normalized as the statistical method employed adjusts for additional comparisons due to any small differences in volume.
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Conditional logistic regression models were employed, adjusting for temperature and humidity.
For analysis of endpoint events, a mixed effect model will also be employed, adjusting for co-variables including baseline characteristics.
Data analysis: Mixed effects regression models were employed, adjusting for age, gender, grade level and school type (SES).
For the secondary outcomes, modelling with either multiple regression (for continuous variables) or logistic regression (for binary variables) will be employed, adjusting for the same baseline covariates as the primary analysis.
A Cox proportional-hazards model was employed to adjust for differences in baseline characteristics.
In terms of analytical methods currently employed to adjust for selection bias, the review identified five broad categories, which were mostly applied in sample sizes of 5000 individuals or less.
Because the SNPs were not completely independent, exhibiting variable pairwise linkage disequilibrium (Table S2), Bonferroni correction was not employed to adjust for multiple comparisons.
Logistic regression was employed to adjust for confounding.
Multivariable regression and propensity score matching were employed to adjust for confounding.
Multiple logistic regression analysis was employed to adjust for potential confounding factors.
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