Sentence examples for variable analyses identified from inspiring English sources

Both variable cluster analysis and individual variable analyses identified the same associations between mood state and chronobiological characteristics (Additional file 1: Table S1).

Multi-variable analyses identified that providing oral information over multiple sessions is the most successful intervention; this indicates the importance of educational interventions in increasing the use of advance directives.

Regression analyses identified variables associated with death or neurodevelopmental impairment (NDI .Result:Bilateral ICH and HPI had higher rates of adverse outcomes and were independently associated with death/NDI.

Multivariate analyses identified variables independently associated with changes in each therapy.There were 686 black patients (9.0%) and 3238 white patients (42.6%), and race was undocumented for 3537 (46.5%).

Bivariate analyses identified variables of interest between females and males that were used in subsequent multivariate analyses.

Logistic regression analyses identified variables predicting drop out versus DDF and subsequent re-presentation versus no re-presentation.

To allow comparison across variables, sensitivity and specificity analyses identified cut-off values for preferred outcome, and relative risks for being above or below cut-offs were calculated, as was the 'proportion of treatment effect explained' (PTEE) to identify biomarkers that contribute to benefit from DrotAA.

Multivariate linear regression and logistic regression analyses identified the variables that contributed significantly to either explain the variability in KI as a continuous variable, or to discriminate patients without AAC (KI = 0) or with severe AAC (KI > 5), respectively.

Comparing CWS patients with the remainder of the cohort, bivariate analyses identified 12 simple variables and three combined variables significantly associated with CWS (OR > 2.0) (Table  3).

Exploratory analyses identified several variables that do explain differences in perceived "climate for academic freedom".

In the analyses, identified salient variables for clinical and laboratory data were categorized as described previously [ 27].