The relations between SSEPs and behavioral measures were estimated using multiple linear regression analyses, which corrected for the number of predictors (as implemented in SPSS Statistics 21.0, IBM, Armonk, NY, USA).
Estimated effect sizes, measurement variability, and correlations between baseline and follow-up measures were estimated using unpublished datasets from studies of physiologic measures in adult and pediatric populations.
Correlations between hormonal data and anthropometrics measures were estimated using Pearson's correlation coefficient.
Associations between treatment with ChEIs and cognitive outcome measures were estimated using multivariable mixed-model linear regression, with separate models derived for all cognitive outcomes at 1 year and 2 years of follow-up.
Nevertheless, given its high heritability, the theoretical maximum possible AUC assuming that all Crohn's disease risk loci have been identified and effect sizes are accurately measured is estimated to lie between 0.96 and 0.98 [10.980.98
By using the median methylation level per site for each cell-type, our differentiation measure is estimating the between cell-type variation only, not taking into account the within cell-type variation.
We would also like to emphasize that by using the median methylation level per site for each cell-type, our differentiation measure is estimating the between cell-type variation only, not taking into account the within cell-type variation.
From the SD of the differences between measures, it is estimated that approximately 100 participants wearing the device for 1 week will give enough measurements for the results to have a high level of confidence.
