Sentence examples for levels were explored using from inspiring English sources
Initially the influence of infection intensity at enrolment and pre-treatment antibody levels on the boost in the antibody levels were explored using spearman's correlation analysis.
Group differences in the proportion of patients with ≥2.0-fold variation in their MTXPG levels were explored using χ tests with 1 degree of freedom or Fisher's exact test, as appropriate.
The association between post-vaccination antibody levels and protection against infections and determination of protective cutoff levels was explored using receiver operating characteristic (ROC) curves.
The relation between myosin and IL-6 levels was explored using a linear model estimated by Generalized Least Squares to allow for correlations between the measurements caused by repeatedly measuring the same subjects; an unstructured correlation matrix was used to model this dependence.
The key factors include blended amine (A), blended amine concentration (B), liquid flow rate (C), and gas flow rate (D), with four levels for each, were explored using the L16(44) orthogonal array design.
Differences for serum biomarker levels between genotypes were explored using general linear models (GLM) for repeated measures in a longitudinal analysis over the three time points by means of SPSS 15.0 (SPSS Inc., Chicago, IL).
The relationship between selected independent variables and the respondents' utilization of partograph and level of knowledge were explored using bivariate and multivariate logistic regression analysis.
Second, differences in CMV status by HbA1c and fasting glucose levels and diabetic status were explored using binary logistic regressions.
The impacts on mobility of maternal age and area-level socio-economic indicators were explored using standard descriptive statistics.
Relationships between CYP1A2 activity and hormone levels, anthropometric measurements, blood lipids, and diet were explored using multiple regression analysis.
Associations between hormone levels, postnatal factors and the return of menstruation were explored using univariate and multivariate statistical survival analysis.
