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One of the key premises in complex-systems analysis is that knowledge of the elements (agents) that make up a complex system is necessary, but by no means sufficient to understand systems behavior and its impact on (clinical) outcomes.
Ingenuity Pathways Analysis is a knowledge database and web-based analysis system that permits the creation of molecular networks, biological function and metabolic canonical pathways that are most significantly represented in genes set of interest.
As a result, our analysis is more knowledge-driven when compared to the original study.
The goal of a content analysis is "to provide knowledge and understanding of the phenomenon under study" [67] and "to examine trends and patterns in documents" [68].
The goal of content analysis is to provide knowledge and understanding of the phenomenon being studied.
However, although predictor analysis is interesting, the knowledge of prevalence rates in different subgroups is of high clinical importance too.
The aim of content analysis is 'to provide knowledge and understanding of the phenomenon under study' [ 37].
This analysis is to our knowledge the first to examine the relation between exposure to secondhand smoke and cognitive impairment in a large heterogeneous population based sample.
This analysis is, to our knowledge, the first to assess the relationship between epidural failure and frequency of epidural insertion in a general surgical population.
The performed mutation analysis is to our knowledge the first to investigate the possible association of germline ATR mutations with cancer predisposition.
Infant and mother physiological data (e.g., cardio-respiratory, EEG) is collected by non-blinded research assistants but coding, data reduction and preliminary data analysis is done without knowledge of group assignment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com