Sentence examples for a disaggregation of the data from inspiring English sources

The results of this study highlight the importance of a disaggregation of the data for the individual medical specialities, as they reveal a clear heterogeneity in the interdependences between the sectors.

All in all the results of this study highlight the importance of a disaggregation of the data for the individual medical specialities, as they reveal a clear heterogeneity in the interdependences between the sectors.

Further research should include representative data on individual "Home Health" users and non-users and additional variables that allow a disaggregation of the evolution of macro and micro social indicators.

Initially, the full disaggregation of the data in a four-dimensional Table is examined.

The results supported the hypothesis of higher road mortality among young males, but disaggregation of the data showed this to be primarily due to a high crash risk as moped riders, where factors such as inexperience and deliberate risk taking may play an additional role.

Among other factors, the discrepancies among those results could be due to differences in the level of disaggregation of the data (loan level data vs bank balance sheets) or to the nature of the shocks considered in each paper.

The disaggregation of the data shows marked discrepancies in access by wealth quintile, location (rural/urban) and gender.

Disaggregation of the data showed that males and females and students from groups underrepresented in science, technology, engineering, and mathematics fields showed similar growth throughout the course.

A disaggregation of costs into components provides a better understanding of the cost drivers.

If the path from an individual patient towards the average patient requires data aggregation, the path back to the individual should follow the inverse process: disaggregation of data, the analysis of subgroups and individuals [ 43].

It offers potential solutions to the primary weaknesses in SSURGO: 1) unmapped areas are gap-filled using survey data from the surrounding regions, 2) the artificial discontinuities at political boundaries are removed, and 3) the use of high resolution environmental covariate data leads to a spatial disaggregation of the coarse polygons.