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As the primary data analytical tool, we used multiple linear regression analysis.
The combined sample size of approximately 2500 (which includes additional participants in some of the site-specific arms) will also allow for the use of hierarchical linear modelling (described below) as the primary data analytical strategy.
As the primary data analytical tools, we used multiple linear regression analysis (symptoms of ADHD as continuous measure) and logistic regression analysis (symptoms of ADHD as dichotomous: > 15 points as clinical cut-off) [ 16].
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Summary tables were used to reduce the volume of primary data and to make analytical inferences by comparing and contrasting pairs and groups of cases.
When studies had not used appropriate analytical methods, primary data were re-analysed.
BR, PF and TN designed the data analysis strategy, AL and CM contributed to calculating statistical power for the primary outcome variable and writing the statistical and data analytical plan together with BR, PF, and TN.
Towards patient diagnoses, such validation could initially be performed in a clinical laboratory medicine setting, but ultimately we must develop sophisticated analytical approaches and quality filters that enable high-confidence variant detection solely from the primary data.
Primary data collectors.
Primary data sources included: Key informant interviews.
Primary analytical data were collected and reduced in Microsoft Excel.
There was a lack of primary analytical data on the phytoestrogen profile of many foods and beverages routinely consumed by this study population.
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