Sentence examples for geographic model for from inspiring English sources

We have constructed a geographic model for airborne polycyclic aromatic hydrocarbons (PAHs) from traffic that is being used in a population-based, case control epidemiologic study involving about 3,000 women on Long Island, New York, known as the Long Island Breast Cancer Study Project LIBCSPP; Gammon et al. 2002a).

Beyea and Hatch (1999) provide an in-depth discussion of geographic modeling for exposure assessment in environmental epidemiology, as well as an extensive literature review.

We conduct a series of partial Mantel tests [43] to assess the congruence between craniometric distance and each of the geographic model matrices, while controlling for temporal distance.

Partial Mantel tests were used to assess the congruence between craniometric distance and each of the geographic model matrices, while controlling for temporal distance.

Details of and default parameters for the geographic model are also available (Beyea et al. 2005; Beyea J, Hatch M, Stellman SD, Gammon MD, unpublished data).

MG conceived of the LIBCSP and the need for a geographic model to assess airborne PAH exposure, managed study subjects, their interviews, and measurements; she promoted the use of multiple imputation and helped to draft the manuscript.

For instance, the "geographic" model reduces the many different systems of emergency care to just two: the "Anglo-American," or hospital-based emergency care, and the "Franco-German," or pre-hospital-based emergency care [6, 13].

Although soil data appear to be a simpler indicator of airborne exposure than the geographic model, soil data are not available for all women, nor are they available historically.

More recently, GIS has been used in conjunction with computer-based geographic models and analysis tools for predicting contaminant transport and fate, extrapolating between data points to identify potential pathways and routes of exposure, and defining the temporal and spatial distribution of exposure across the study population (Beyea and Hatch 1999; Georgopoulos et al. 1997; Jarup 2004).

This will allow time for credible estimates of past degradation to be developed, for example using geographic modeling, so that in the future it may be possible to make claims for reductions in this degradation.

The second type of applications focuses on simulating artificial images for testing a variety of geographic models.