We also find that the required minimum number of years of follow-up, τ, is independent of cure rate (correlation coefficient of determination, R2 = 0.10).
The compressive strengths at certain curing temperatures were plotted against the curing age, and correlation functions were established.
Specimens which were water cured showed high correlation regardless of cement types and water cement ratio in Fig. 8.
In case of laboratory prepared atmosphere cured concrete, low correlation was observed between air permeability and De due to the changes in pore structure of concrete when concrete is transferred from air permeability test to electrophoretic test because of possible rehydration reaction of cement in the process of electrophoretic test of chloride ion and saturated water processing.
Similarly, based on a regression analysis on the unconfined compressive strength (UCS) values for different curing ages, an empirical correlation between CPB strength, curing time and sample size was proposed by Yilmaz et al. (2015).
All possible combinations of these six parameters were assessed for their correlation with cure at end of therapy.
The optimal combination in this derivation analysis, to be used for the validation analysis, was considered to be the combination which met the following criteria: i. Correlation with cure having an R value ≥ 0.9 ii.
Correlation with cure having a P value ≤ 0.01 If multiple combinations met the above 2 conditions, the combination consisting of the largest number of variables was considered as the optimal combination, since this scheme would be able to categorize the patients into the largest number of distinct groups (i.e. highest discriminative ability and category utility) [ 22].
In the derivation cohort, the best discrimination and correlation with cure was seen with a five-component ATLAS score (age, treatment with systemic antibiotics, leukocyte count, albumin and serum creatinine as a measure of renal function), which divided CDI patients into 11 groups (scores of 0 to 10 inclusive) and was highly correlated with treatment outcome (R=0.95; P<0.001).
Correlations between EBV of the SIMPLE and NAÏVE models were close to unity (0.99), and both models showed very high correlations (0.98-0.99) withethEBVBV of susceptibility in the CURE model; while the correlations with the endurance EBV were substantially lower (0.57-0.63).
