Sentence examples for linkage between data from inspiring English sources

A cross linkage between data from MSP and MCR allowed the identification of cases with invasive or in situ breast cancer diagnosed between 1st January , 1996and 31st December, 2000 who did and did not the MSP.

The premise for this dynamic approach for model construction is the linkage between data lineage and positional uncertainty, i.e. the genesis and the process to collect and interpret data determines the positional accuracy and uncertainty, a widely accepted scenario in Subsurface Utility Engineering (SUE) (Sterling et al. 2009) and GIS.

Linkage between data sets can add further value to these resources.

Measurement of co-morbidity in this study was also dependent on linkage between data sets and there was evidence that this decreased with older age; the sample used in this study will under-represent the oldest patients.

Linkage between screening data, assessment data and Cancer Registry data is based on the pseudonym number.

With this regard, associative memories capturing linkages between data positioned in two (or more) data spaces are examples of commonly considered architectures.

Management of linkages between data representations and construct boredom mentioned previously helps to interpret the construct of boredom for realizing a mentoring function of IMS.

We carried out all the record-linkage between data files using SAS 8.2 software, while STATA 8 was used for the analysis.

Whenever possible, data collection should include small-area markers (such as postal codes) or identifiers (such as personal identification numbers) that permit linkages between data sources.

Determining the optimal use of diagnostic tests will require heavy use of IT to calculate the probabilities and discern linkages between data and disease, because the complexity of the data precludes depending solely on intuition and experience.

A journal was kept to assist with documenting the audit trail and included memorandums about possible linkages between data; emerging or contradictory areas that needed further exploration; and the researchers' evolving perceptions/understandings and potential biases [ 17].