Exact(6)
Guidelines published by the European Union Regulatory Authority, regarding the planning of bioequivalence studies, are the primary source of knowledge about the study design optimization.
The differences between the two data sets can be explained in terms of input data and knowledge about the study area.
In order to measure the evaluation variables and weights of factors, we consulted 10 specialists who had knowledge about the study area and about different research fields (Urban planning, Landscape planning, Physical geography, and Phytology, etc). to address the necessary information.
In order to perform the study in a double-blind manner, drug solution and infusion was administered to all patients by a nurse without any knowledge about the study protocol.
Seven key informants (KIs) were selected during the first phase of the study - five psychiatrists and two psychologists – who had varied knowledge about the study topic and the study population [ 20].
The lead author, a young (27 year old at the time), Black, Xhosa-speaking female PhD student with a rural middle-class background, engaged in continuous reflexivity to ensure an open mind, treating all prior and personally held beliefs, assumptions and knowledge about the study population and the subject matter with awareness, suspicion and distance.
Similar(54)
The cover figure illustrates how data analysis is essential in metabolomics to unify the knowledge about the studied biological system with the advanced analytical chemical data that the platforms generate.
Constraints that are a system of prohibitions resulting from the rules of organic chemistry, stereochemistry, and a priori knowledge about the studied compound are added into the structural filter.
Although the previously reported clustering approaches generate interesting hypotheses on regulatory mechanisms, none of them make efficient use of any prior knowledge about the studied cellular process.
It also takes as input modeling knowledge about the studied domain, represented as a library of template model components, i.e., entities and processes.
In both cases, the participants were asked to use a 5-point scale to rate the listed features according to their landscape preferences and their knowledge about the studied terrain, with five points ascribed to the feature considered most important for the quality of landscape in a given area and one point to the feature regarded as the least important.
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