Sentence examples for multiple secondary data from inspiring English sources

To improve practical implementation of ICCK in the case of multiple secondary data a novel merged secondary variable approach is developed in this paper.

Multiple secondary data sources can be extracted from databases, such as KEGG [23], REACTOME [24] and OPHID [25] (for an overview see Table 1).

Multiple secondary data sources were used to gain further perspectives on the market for physician services in the three cities.

We also discuss practical, logistical, and methodologic difficulties of linking multiple secondary data sources with different levels of person, place, and time descriptors.

Multiple secondary data sources were used: the US Census Topologically Integrated Geographic Encoding and Referencing (TIGER) Line Files [ 26], the Centers for Disease Control and Prevention CDCC) which administers the Behavioral Risk Factor Surveillance System (BRFSS) [ 27], the US Department of Agriculture Economic Research Service USDAA) [ 28], and the US Decennial Census [ 29].

Multiple secondary data sources were used: online exposure to content about self-harm, cyberbullying, and Internet addiction data (EU Kids Online survey, 2010); and mortality data (European Detailed Mortality Database, 2010 or the latest year if not available) of 24 European countries.

The Feasibility Scorecard (Table 2) synthesizes data from multiple primary and secondary data sources, organizes findings by topical area (acceptability, infrastructure, implementation capacity, value for money, risks, and flexibility/responsiveness), and highlights issues that vary by community risk level or governorate.

By employing multiple primary and secondary data collection strategies, including a number of formal expert interviews, we map, explore and compare major recommended practices for PSMS, identify a series of gaps in policy and practice, and offer a number of recommendations and implications for practice, policy, and research.

An iterative version of the algorithm is also suggested in situations of multiple outliers in the secondary data.

Public health triangulation is a process for reviewing, synthesising and interpreting secondary data from multiple sources that bear on the same question to make public health decisions.

More recently the term has been used in the context of public health to refer to the process of reviewing and interpreting secondary data from multiple data sets that bear on the same question to make public health decisions, combining elements of both data triangulation and method triangulation [ 15, 16].