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Given the pervasiveness of school adjustment problems having lasting or cumulative effects and the potential costs to the individual and to society, there is a need to study early school adjustment, to identify and understand the behaviours that contribute to children's adjustment and to put in place strategies to promote these skills.
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As the relationships between dependent and independent variables were disclosed at the beginning (Funke 2010), the systems allowed different adjustments to identify the number of correlated variables and their complexity.
Only few are the studies that performed the necessary adjustments to identify the independent impact of vitamin D on health outcomes.
We then undertook minimization of metabolic adjustment optimization to identify single and double gene-knockouts that resulted in increased polyketide production while maintaining cellular growth.
Individuals with claims data containing diagnosis codes related to these five conditions were then used as input for diagnosis-based risk adjustment models to identify high-expenditure users.
In contrast to variable-centred approaches, person-centred approaches involve identifying a group of resilient children (who experience high adversity but exhibit adequate adjustment), and comparing their characteristics with other groups of children showing different patterns of adversity and adjustment, in order to identify resource factors associated with resilience (e.g., [ 12, 25, 90]).
A two-step process adjustment was followed to identify the most appropriate covariance structure for each HC-QI.
The hypergeometric method with Hochberg (FDR) multi-test adjustment was used to identify statistically significant GO terms (P <0.05).
Empirical Bayes adjustment was used to identify novel associations warranting further investigation from analyses of 147 selected morbidity categories identified from the national registry of patients.
Poisson regression analysis with robust variance adjustment was performed to identify factors associated with inadequate prenatal care utilization in order to attenuate a possible underestimate of the standard error, considering that the dependent variable is binary and that its prevalence was higher than 10%.
Notably, in order to measure these changes with confidence it was necessary to make numerous replicate measurements to allow the subtle effects of pacemaker timing adjustment to be identified from biological beat-to-beat variability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com