Sentence examples for analyzing the interrelationships of from inspiring English sources

Therefore, we checked the underlying structure of the data matrix by analyzing the interrelationships of variables and using the information collected to explain the interrelationships.

When analyzing the interrelationship of reported trigger factors and corresponding premonitory symptoms, we found that migraine patients suffering from photophobia in the premonitory phase of migraine pain reported flickering light or bright sunlight as a trigger factor significantly more often than patients not experiencing photophobia in the premonitory phase.

We are currently examining this issue by analyzing the interrelationship of blood OP pesticide measurements, genotype, and urinary DAP concentrations in this cohort.

In this paper, hybrid modeling techniques that combine system dynamics and discrete event simulation are used to analyze the interrelationships of schedule risks within the six-day cycle assembly of prefabrication housing production.

A community-based study for women with migraine analyzed the interrelationship of headache intensity, chronic pain experience, and depression with disability or QOL, using the regression model [23].

To explore the mechanism for the cell-proliferative effect of ECM1, we analyzed the interrelationship of ECM1 expression with cell cycle progression.

In this section, experimental in vitro and in vivo systems to analyze the interrelationship of macrophages and hepatocytes are described in detail.

To analyze the interrelationship of two TCRs, we generated dual TCR-Tg 58 T cells in which one TCR was expressed under the control of the constitutive promoter of the retroviral vector LXSN, while the expression of the second TCR was Dox-inducible (Fig. 2A).

Therefore, a life-course perspective is best-suited to analyzing the interrelationship between them (see also Willekens 1991).

Principal component analysis is a statistical method designed to analyze the interrelationships within a set of variables by reducing the complex information to an easily interpretable form.

We analyzed the interrelationships between clinicopathological variables of GBC and tumor‐infiltrating T cell subsets, BTLA+ cells, and Cbl‐b+ cells (Table 1).