Sentence examples for understanding the causality from inspiring English sources

Exact(2)

This study was cross-sectional, and has limitations by design in understanding the causality of our exposure of interest.

We propose that integrative modelling as in the present work is a valuable complement to experiments in understanding the causality within complex biological systems such as cardiac myocytes.

Similar(58)

They do not however offer any insights into managing the problem and understanding the implications, causalities and dimensions of a loss of financial sustainability.

After determining the presence of co-integration, it is also interesting to perform the Granger causality test to provide a clearer picture for policymakers to formulate energy consumption and economic and environmentally friendly policies by understanding the direction of causality.

But note that the intellectual climate of Malebranche's time period was rather different: philosophers were trying to come to grips with the complicated task of understanding the nature of causality given the new scientific developments of the sixteenth and seventeenth centuries.

Regardless of causality, understanding the unique characteristics of people with CBD can help develop more appropriate educational materials or programs (for prevention or management) and help clinicians consider potential additional health needs or potential management contraindications presented by comorbidities.

Measuring outcomes and designing IHC interventions is further complicated by understanding that causality lies for the effectiveness of an IHC intervention lies not just with the treatment component but by enhancing the healing capacity of the patient (salutogenesis) through the social context and healing environment [ 72].

Novel genome engineering methods offer a new avenue to understand the causality between the genome and phenotype, thus promising a fuller understanding of cell biology.

In short, it is useful in understanding the totality of children and women's needs and interests and the causalities between them.

These include aspects related to (a) coping with an apparent increasing diversity in sociotechnical frameworks, models and methods, (b) the challenge of understanding causality across the various layers of sociotechnical systems and (c) understanding the nature and impact of system design and performance trade-offs as they impact workplace safety.

Unexpectedly, however, the theoretical efforts spent on understanding the relations between diagrams and probabilities, two seemingly unrelated mathematical objects, sparked a revolution in another area of inquiry: Causality.

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