Medical Geography: a Promising Field of Application for Geostatistics - Wikidata - wikimedia - TriplyDB

Medical Geography: a Promising Field of Application for Geostatistics

Medical Geography: a Promising Field of Application for Geostatistics

http://www.wikidata.org/entity/Q37174276

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Maps and atlases of cancer mortality: a review of a useful tool to trigger new questions Mapping amyotrophic lateral sclerosis lake risk factors across northern New England Spatial analysis of drug poisoning deaths in the American West, particularly Utah Assessing and mapping spatial associations among oral cancer mortality rates, concentrations of heavy metals in soil, and land use types based on multiple scale data.Spatial relationship quantification between environmental, socioeconomic and health data at different geographic levels Spatial Prevalence of Intellectual Disability and Related Socio-Demographic Factors in Iran, Using GWR: Case Study (2006)Visualizing and testing the impact of place on late-stage breast cancer incidence: a non-parametric geostatistical approach Combining Areal and Point Data in Geostatistical Interpolation: Applications to Soil Science and Medical Geography Geostatistical Analysis of County-Level Lung Cancer Mortality Rates in the Southeastern United States.Analyzing spatial aggregation error in statistical models of late-stage cancer risk: a Monte Carlo simulation approach.How do multiple testing correction and spatial autocorrelation affect areal boundary analysis?Geographic boundary analysis in spatial and spatio-temporal epidemiology: perspective and prospects.Accuracy of commercially available residential histories for epidemiologic studies Geostatistics: a common link between medical geography, mathematical geology, and medical geology.Avian Conservation Areas as a Proxy for Contaminated Soil Remediation.Building spatial composite indicators to analyze environmental health inequalities on a regional scale.The impact of place and time on the proportion of late-stage diagnosis: the case of prostate cancer in Florida, 1981-2007.

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P2860

Medical Geography: a Promising Field of Application for Geostatistics

http://www.wikidata.org/entity/Q37174276

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article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on January 2009

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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Medical Geography: a Promising Field of Application for Geostatistics

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Medical Geography: a Promising Field of Application for Geostatistics.

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Medical Geography: a Promising Field of Application for Geostatistics

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Medical Geography: a Promising Field of Application for Geostatistics.

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Medical Geography: a Promising Field of Application for Geostatistics

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Medical Geography: a Promising Field of Application for Geostatistics.

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Mathematical Geosciences

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P2860

Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York

Visualization and exploratory analysis of epidemiologic data using a novel space time information system

Local clustering in breast, lung and colorectal cancer in Long Island, New York

Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson kriging

Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation.

Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging.

Geostatistical Analysis of County-Level Lung Cancer Mortality Rates in the Southeastern United States.

Method for mapping population-based case-control studies: an application using generalized additive models.

Accounting for rate instability and spatial patterns in the boundary analysis of cancer mortality maps

How does Poisson kriging compare to the popular BYM model for mapping disease risks?

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