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Also, the tests for DIF in relation to age group revealed only a limited amount of DIF, which can be adjusted for using GLLRM.
Multiple prognostic factors can be adjusted for using multivariate modelling.
Population stratification can be adjusted for using principal components from GWAS analysis.
Confounding variables will be adjusted for using conditional multiple logistic regression models.
Measured biases in recruitment could be adjusted for using the background questionnaire completed during enrolment.
Imbalances in baseline values will be adjusted for using multiple regression [ 52].
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For each model, a regression line was fit for each patient and differences between groups as well as within group variation were adjusted for using random effects.
Multiple testing of individual SNPs was adjusted for using the Single Nucleotide Polymorphism Spectral Decomposition (SNPSpD) method of Nyholt [44] modified by Li and Ji [45] and Bonferroni correction was applied to haplotype analyses.
Even when the administered antipsychotics (chlorpromazine equivalents) were adjusted for using partial correlation coefficients, the relationships between GSH level and SANS score (partial correlation coefficient = −0.60, p = 0.007) or BPRS negative score (partial correlation coefficient = −0.52, p = 0.02) remained significant.
Multiple comparisons were adjusted for using the Bonferroni correction.
Cluster effect was adjusted for using STATA 10.0.
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