Subsequently, a partial ordering of the nodes is established by multiple testing of the log-ratio of standardized partial variances.
This is done by estimating a pairwise ordering of the nodes from the data using multiple testing of the log-ratios of standardized partial variances, and by subsequent projection of this partial ordering onto the GGM.
Using this logic, we assessed differential gene expression using Student's t-test of the log ratio of RPKM and separately UQ-normalized data.
Next, a Chi-Squared test of the log likelihood of model 1 versus model 2 was used to test the relationship between acculturation and psychopathology, taking into account the effects of socio-demographic variables.
Also, a likelihood ratio test of the log-Likelihood values (LogL) was applied (Hox [2010]).
Serotype-specific and HiD IgG GMC comparisons are made using unpaired t tests of the logged data.
Differences between cases and controls in mean levels for each analyte were tested by paired t-tests of the log-transformed value in each case control set.
On the basis of chi-square test of the log-likelihood ratio, the joint effects of estimated logistic model are statistically significant at the 0.1% level.
The statistical significance of protein abundance ratios was assessed by a one-sample t-test of the log-transformed peptide ratios for each protein.
Student's t-tests of the log-transformed values and chi-square tests were performed to assess differences in the baseline values of urinary estrogen metabolites and demographic characteristics between randomization groups.
The power of a longitudinal study based on a relative increase in FE NO was estimated using a bilateral t-test of the log-transformed FE NO using the between-session variance of the assay.
