Sentence examples for secondary analytic from inspiring English sources
The paper concludes with implications of this secondary analytic approach to improve addiction researchers' ability to identify best practices for community-based treatment of these disorders.
When an investigation designed to compare extant models of delivering oral health and dental services to the institutionalized elderly revealed that structural variables explained very little of the difference between effective and ineffective programs, secondary analytic techniques were employed to consider alternative explanations.
We conducted 3 secondary analytic tests for the validity and sensitivity of our final estimates.
We used general linear models with mixed effects as a secondary analytic approach to adjust for the correlated errors within participants that may arise from the repeated UFOV measurement (which the primary multiple linear regression analyses do not address).
The GE MQIC Medical Quality Improvement Consortiumm) represents the group of providers who use the GE Centricity Electronic Medical Record and who contribute their data for secondary analytic use.
Live Gamer's platform includes virtual currency and virtual item systems, inventory management, publisher-sponsored secondary market trading, analytics, fraud management and support features.
Instead, a decision-analytic model will be constructed to synthesize longer-term cost effectiveness estimates in a secondary analysis [ 84].
To allow comparison between the various evaluations, we grouped studies into those who included primary data collection (eg, randomised controlled trials (RCTs)) and those who utilised secondary sources (eg, hypothetical decision analytic models).
A promising methodology to address the problem of endogeneity in a meta-analysis using secondary data is the meta-analytic structural equation modeling (MASEM) approach presented by Cheung and Chan (2005).
Behind that front end processes are highly automated and set up for straight-through transaction processing to enable sophisticated analytics and facilitate secondary market transactions.
Finally, maintain a detailed record of the analytic provenance of the secondary data generated from your raw sequence reads, including pipeline steps and parameters.
