Sentence examples for variable comparison of from inspiring English sources

Relaxation had a strong tendency to be slower and was certainly more variable (comparison of variances P < 0.001, comparison of means with Welch's correction for unequal variances, P = 0.058).

Instead, this study used propensity score techniques to match a comparator group to the exposed cohort and address potential confounding by numerous covariates that are integrated into this single variable; comparison of the duloxetine initiators to the comparator cohorts suggested the cohorts were well-balanced for the claims-based covariates included in the propensity score model.

In that regard, as based upon categorical variable comparison of the K-alpha probe as a function of the specific threshold criteria used, we specifically found that the three-sigma statistical threshold criteria method was significantly better than the ratiometric threshold criteria method for determining probe positivity for the K-alpha probe (P = 0.050).

When ASE was considered as a binary variable, comparisons of proportions between cases and controls were performed using a likelihood ratio test derived from logistic regression adjusting for population source.

Error Mean 198.16 Estimation Method Bootstrap results are based on 1000 bootstrap samples Table 2 Comparison of ASK, RPK and load factor of EM and EF flights Variables Comparison of flights Mean Difference Std.

Statistical analysis: χ2 test for categorical variables; comparison of proADM levels based upon etiologic agent, site of infection and presence of renal failure were performed by using repeated measures analysis of variance (ANOVA).

Due to all these complex variables, comparison of inoculation treatments (that is, a stated seed A with a stated inoculant A vs another seed B with an inoculant B combination) is frequently misleading.

Effect of the intervention on secondary outcome variables: comparison of the proportion the percentage of EBF or PBF at 1, 3 and 12 months using the Chi-squared test and the calculation of confidence intervals.

For continuous dependent variables, comparisons of the means were analyzed by 2-tailed t-test (2 groups) or one-way ANOVA followed by Scheffe's multiple comparisons test, and the data are presented as mean ± SD.

Multiple hierarchical regression analysis with HIV symptom intensity as the dependent variable enabled comparison of demographic, social and disease variables with symptom frequency.

Iqbal et al. [ 2] stated that in the absence of any gold standard, and because of the variable definitions, comparison of flare-up incidence across studies is challenging.