Sentence examples for cac analysis from inspiring English sources

Given the straightforward nature of CAC analysis (Mickes, 2015) and the fact that the basic procedure was introduced over 20 years ago (Juslin, Olsson, & Winman, 1996), it seems surprising that researchers who study recognition memory have made so little use of this analysis outside the eyewitness identification paradigm.

The images were reconstructed with the B36f kernel (b36f), and CACS was calculated with the use of CAC analysis software (Cascore, Siemens, Germany) using the Agatstone method [ 16].

The authors observed an association between GFR and CAC in unadjusted analysis (spearman correlation coefficient −0.28, P<0.0001), but the association was attenuated after multivariable adjustment for cardiovascular risk factors (spearman correlation coefficient −0.10, P<0.08).

Prior to analysis, CAC, hsCRP, IL-6 and HOMA-IR were logarithmically transformed to ensure normality for parametric testing.

For subgroup analysis, CAC detected a higher number of SSA/P or TSA (7 vs 1, p 0.03).

In addition, a separate sensitivity analysis using CAC as a continuous variable in a full model showed CAC was a significant predictor of CVD mortality (P = 0.0001).

Four loci selected for this analysis (Ca1D, cac, Rp49 and per) had been previously isolated from Lutzomyia species in our lab [ 35- 38].

The sample size for the analysis of any CAC progression and advanced CAC progression was 2,076 participants.

Prior to analysis, possible CACs were identified and extracted from these selections.

In addition, in a separate sensitivity analysis, when using CAC as a continuous variable in a full model, CAC was a significant predictor of mortality (P = 0.0001).

In a separate analysis that used CAC score as a continuous variable, the base 2 logarithm of the sum of the CAC score plus 1 (log2 [CAC + 1]) was used.