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The study used cross-sectional data from a large public health survey in southern Sweden, combined with road traffic noise data assessed for the current residential addresses of the survey participants using a geographical information system (GIS).
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We applied a whole brain corrected, paired t-test to the data assessing for regions differentially activated by low frequency no-go cues relative to high frequency go cues.
RBB screened search results, extracted data, assessed studies for quality, performed the statistical analyses and drafted the manuscript.
Costs and quality of life data were assessed for missing data.
Concordance analysis between the re-sequencing data and CGEMS PLCO scan data was assessed for 74 individuals (cases and controls).
Furthermore, no self-reported data was assessed for a comparison with objective data.
All data were assessed for normal distribution by exploring the data for skewness and kurtosis and the Shaprio Wilks estimates.
Antibiogram data from each hospital for each year of data were assessed for inclusion.
Data were assessed for normality using the Shapiro-Wilk test.
Data were assessed for normality and expressed as mean ± SEM.
Continuous data were assessed for normality, and median interquartile ranges are presented.
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