Because gene-specific methylation patterns did not deviate significantly between cardiac phenotypes, cases were combined for subsequent analyses to maximize power to test our study hypotheses.
* p < .05; ** p < .01 Linear regression analyses were used to test our study hypotheses.
To test our study hypotheses, we fit a series of exact logistic regression models.
However, with regard to multiple hypothesis testing, our study was not sufficiently powered to investigate the numerous possible epistatic interactions between the genes investigated here.
In the dominant inheritance model using one-tailed t-test, our study was sufficiently powered (1-β = 0.8, α = 0.0014) to detect effect sizes (d) of 0.19≤d≤0.25 depending on the minor allele frequency (MAF) of the SNP tested.
Given the poor concordance between diagnostic tests, our study suggests the urgent need for new and better diagnostic tests for LTBI, especially among HIV-infected persons who are at greatest risk for progression to active TB disease following infection.
With eight providers, using the Wilcoxon signed-rank test, our study had 80% power (alpha = 0.05) to detect a minimum difference of three points in the oximetry and hypoxia management test scores between any pair of time points.
To complement our study, we tested our implementation against a second data base: the Scan of the Month 34[13].
