Sentence examples for more aggregated level from inspiring English sources

Having a single ratio would therefore be misleading, especially if this was set at a more aggregated level such as by the hospital or trust.

As discussed in Moulton (1990), statistical inference can be seriously misleading when a regressor is measured at a more aggregated level than the observations in a regression, unless the regression allows for clustering at this level.

However, the earlier smaller-scale analyses showed how characteristics of the livelihood landscapes differed between peri-urban and rural communities, thus these smaller-scale figures helped to unpack the pattern of occupational dependencies seen on the more aggregated level.

At a more aggregated level, and in order to infer the city structure at a larger scale, we can study the distribution of incoming (or outgoing) flows for a given station.

Estimates of change in live coral cover were calculated and plotted on a map by country and management strategy and at a more aggregated level with 95% confidence limits.

Accounting for the spill-over effects between neighbourhoods reduces measurement bias in the model and accounts for the fact that GPs' location choices could be influenced by variables at a more aggregated level than the neighbourhood where they are located.

However, while the use of CT (or even more aggregated census levels) for hotspot identification may increase confidence in the results, it will also reduce the precision with which each specific place of injury can be identified.

First, we repeated analyses with both more aggregated data (species level) and less aggregated data (groups), and this produced congruent results.

In addition, the summarization of findings both from observational and intervention studies either in the meta-analyses or in the systematic review makes the available information on the association of Mg and serum CRP levels more aggregated.

The more aggregated network (AGGREG) is situated in the Pisserotte nature reserve.

In this sense, Colliander and Ahlgren (2011) argue: "By calculating normalized impact and contrasting the result with indicators normalized on a higher aggregated level, a more informative picture can emerge, compared to the case where only one baseline is used.