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In our simulation, eight of ten genes with the largest importance measures were from the dysregulated set.
For the current paper, all measures were from adolescent self-report.
QOL measures were from a survey of German patients with CHC.
^Not calculated, no variation between variables of interest as all outcome measures were from the same study.
As the datasets of interest (RSFA, rsMEG, and ECG/PulseOx measures) were from different modalities, we computed summary measures for each of these metrics to allow statistical analysis without excessive risk of multiple statistical comparisons.
The majority of measures were from one of four domains: Referral Initiation (73 metrics, 30%), Entry into Specialty Care (53 metrics, 22%), Coordination (60 metrics, 26%), and Quality (57 metrics, 23%).
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Individual data is taken from all birth certificates between 1989 and 2002, while MSA and State inequality measures are from the decennial Censuses.
The employment measures are from the Bureau of Labor Statistics.
The energy consumption measures are from CC2420 technical specification[30], and MAC parameters are from the BoX-MAC specification[3].
The range of both measures was from 0 to 1.
Three of the five studies using this outcome measure were from the CATIE trial.
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