Sentence examples for data acquisition methodologies from inspiring English sources
Developing quality assurance protocols and standardising data acquisition methodologies are important aspects that will help evaluate and integrate findings from multiple centres, thereby reducing effort and keeping duplication to a minimum (Leach et al, 1994; Evelhoch et al, 2005).
Hierarchical data acquisition methodology and performance macro-observation are according to the IEC 61724 standard.
This chapter explains 2D and 3D conventional as well as nonconventional marine seismic data acquisition methodology and components of the acquisition in detail.
Factors considered important for comparison included: mean age, sex distribution, case and comparison group size, data acquisition methodology and instrumentation.
To-date, transcriptional profiling is the most frequently used large-scale data acquisition methodology in clinical research.
This study provides an example of data acquisition methodology that could be used in quantitative exposure studies of nanotechnology-based consumer products, especially when simulating realistic exposure scenarios.
PMS assisted in the conceptualization of the study, assisted with legal and policy data acquisition, created methodology for interpretation of statutes and pandemic plans, assisted in drafting of the manuscript.
We undertook a systematic review [4, 5] of previous PET dosimetry studies to identify the current biodistribution data acquisition and analysis methodologies.
The differences between the various pre-erythrocytic transcriptional data sets result from a combination of different sample collection and processing protocols, as well as differences in raw data acquisition and processing methodology used to create the various gene lists.
The FNI Trial Group advised on recruitment, data acquisition, data analysis, methodology and/or preparation and editing of the manuscript.
Analyses of the epidemiological studies can be flawed not only by problems in data acquisition and field methodology, but also by errors in the construction of databases.
