The phrase "aggregated estimates" is correct and usable in written English.
It can be used when referring to combined or summarized data points or predictions that have been collected from various sources.
Example: "The aggregated estimates from multiple studies indicate a significant increase in the population over the next decade."
Alternatives: "combined estimates" or "summarized projections".
When organisms are aggregated, estimates of concentrations will be more variable, and consequently larger sample volumes must be taken to obtain reliable estimates of concentration.
Aggregated estimates of overall survival (OS) and progression-free survival (PFS) are based on random/mixed effects (RE) models to allow for heterogeneity between the studies.
We hypothesized that this game would generate more accurate aggregated estimates than would singular estimates by exploiting the wisdom of the crowd.
Ninety-six participants (50 in group 1 using the metric system, and 46 in group 2 using the non-metric system) estimated height, weight, and distance of various objects; aggregated estimates of each group were more likely to approach accurate answers than were individual estimates, especially when the aggregates were calculated using medians and median absolute deviations.
In columns (5 - 6), we show the aggregated estimates through 2009, and then the disaggregated estimates (which we think are most reliable) through 2003,37 the last year for which the disaggregated data are available.
Pooled ORs for the meta-analytic and aggregated approaches were generally similar, so only the aggregated estimates are presented.
Our algorithm resists this tendency by requiring a trend in the movement of multiple polls in order to change the direction of the aggregated estimate.
Standard meta-analytic approaches were used in calculating prevalence estimates for individual studies and for aggregating estimates across studies [ 14].
Losing time precision by aggregating estimates clearly increased measures of validity, which considering the uncertainty regarding time between WNV exposure and disease onset seemed appropriate to improve predictive power.
For example, Pathak, Rane, Raj et al. [ 19] suggested running local models on each private data set and aggregating estimated parameters.
The composite state-level coverage estimates of the respective indicators were aggregated from estimated LGA coverage estimates.
