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Campbell and Mankiw's (1990) lambda model has frequently been used to estimate the fraction of rule of thumb consumers (i.e., consumers who do not smooth their consumption).
The hippocampus, which is lesioned in the NHL model, has frequently been reported to have a reduced volume in schizophrenic patients [ 200- 205].
To improve the current understanding of the mechanisms of hepatic carcinogenesis, the DEN model has frequently been used to define at the molecular level HCC initiation and progression in mice, as it recapitulates the pathophysiological events of human HCC.
This model has frequently been identified as the most parsimonious and best fitting model in utility mapping studies when compared to other methods designed to cope with bounded and multi-modal distributions [ 15, 20].
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Application of these RNA models has frequently been justified by a consistent phylogenetic signal of coevolved paired sites, decreasing the information content in the data [ 5, 18].
Statistical models have frequently been used in highway safety studies.
In the absence of complete subject-specific measurements, land-use regression (LUR) models have frequently been used for estimating individual levels of exposures to ambient air pollution.
Although these models have frequently been used, there is a criticism on such learning process as the number of rules are needed to be predefined by the user.
While hillslope and fluvial process models have frequently been combined with digital topography to develop morphologic proxies for erosion rate and drainage divide migration, debris-flow-dominated networks, despite their ubiquity, have not been exploited for this purpose.
However, since the impracticality to use those species in determined experimental conditions, rodents were considered as potential models since the brain lesions in sheep and mice exposed to ETX are comparable in many respects and the intravenous and intraperitoneal murine models have frequently been used to study the pathogenesis of the disease [13], [14], [15], [16], [17], [18], [19], [20].
Land-use regression (LUR) models have frequently been used to estimate traffic-related air pollutant (TRAP) exposures for epidemiology studies.
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