Sentence examples for a secondary analytic from inspiring English sources
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 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.
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.
Instead, a decision-analytic model will be constructed to synthesize longer-term cost effectiveness estimates in a secondary analysis [ 84].
All this location information makes Microsoft better positioned to sell their products to companies AND opens a secondary data market to sell access to research and analytics firms hungry for this kind of focused B2B data.
A secondary objective is to compare the quality measures generated from the analytic tool against current AF treatment guidelines [ 12] (e.g., patterns of potential anticoagulant under-treatment) for each payer type.
The objective of this study was to demonstrate the usefulness of analytic software tools for descriptive analyses of disease management in atrial AF; a secondary objective is to demonstrate patterns of potential anticoagulant undertreatment in AF.
A secondary objective is to highlight the potential benefits of predictive and prescriptive clinical big data analytics.
