The phrase "analysis of multiple sources" is correct and usable in written English.
It can be used when discussing research, evaluation, or examination of various materials or references to draw conclusions or insights.
Example: "The analysis of multiple sources revealed significant trends in consumer behavior over the past decade."
Alternatives: "examination of various sources" or "evaluation of diverse materials".
The main strategy here is to corroborate the visualization requirements based on the analysis of multiple sources of information, i.e., through triangulation.
Case study methods will guide the collection and analysis of multiple sources of data within and across the four approaches to improvement.
The objective of our study is to attempt, at least in part, to address these two questions through a comprehensive systematic review and integrated analysis of multiple sources of data about HCV prevalence and incidence in Egypt.
This increment is due to both the analysis of more parameters (not only the acceleration but also the final full body state of the users) and the analysis of multiple sources of data (the sudden deceleration from one node may not be high enough to trigger an alert but two or more high values from different sources are).
Triangulation (Charmaz, 2006; Creswell, 2007) was applied to further enhance reliability through the involvement of all authors in the analysis, the use of multiple sources of data and several interviewers.
Previous validation studies in this cohort using capture recapture analysis indicated that the use of multiple sources of ascertainment information for diabetes detected 99% of incident cases when comparing with diagnostic information from a comprehensive review of medical records (18).
Shouldn't we clamor instead for policies that support in-depth inquiry, use of multiple sources and rigorous analysis of historical evidence?
This analysis demonstrates the critical importance of disentangling the effects of multiple sources of heterogeneity when designing targeted interventions.
This strategy not only entails the representation and analysis of networks of putative biomarkers, but also benefits from the integration of multiple sources of omic information.
This type of analysis is often hampered by dependence between registers, but by using combinations of multiple sources interactions between registers may be identified and accounted for.
Most of the methods make use of multiple sources of data collections (e.g. surveys, interviews, task analysis).
