The IAC database excludes detail needed for an exact match, so the study developed a linking methodology to account for uncertainty in the matching process.
Our research laid the foundation of a linking methodology through which hybrid multi drug and receptor labeled NPs could be created, which might serve as an alternative design for nanosized drug-delivery systems.
An enhancement to the linking methodology used in this study enabled the role of contextual factors as well as attribution of the participation restriction due to health to be further examined within each question.
This technical report describes the linking methodology and considerations that went into integrating the NCS and NCVS for the NHT master data files, extract files, and initial statistical tables.
It contains and combines quality management, change management and process improvement by linking these methodologies to the respective phases in the lifecycle of a service.
The Delphi method is used when the purpose is to clarify the futures of very complex problems using many linked methodologies, and is especially useful for long-range forecasting (20 30 years) because expert opinions are the only source of information available [112, 113, 114, 115, 116].
This paper synthesizes several existing multiphase and chemical transport solutions into a single linked methodology that predicts concentrations of soluble constituents within and downgradient of LNAPL source zones from dissolution of those constituents into groundwater flowing through and below LNAPL sources.
The aim of the study is to evaluate the rate and causes of maternal mortality up to one year following birth utilising linked data methodology to ascertain accurate rates of maternal mortality and the potential role played by nonmedical causes in these deaths.
There will be words, but also diagrams, canvases, and links to other methodologies to try.
An additional strength of this study is its application of quasi-experimental observational methodologies to linked population data to assess the impact of two 'real-world' programmes/services, which has important implications for policy and practice.
Other challenges include limited spatial and temporal data availability, limited development of data sharing mechanisms, heterogeneous data quality, a lack of adequate methodologies to link disparate data sources, and low level of interdisciplinary cooperation.
