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The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina.

Kate Hoffman | Amy E Kalkbrenner | Veronica M Vieira | Julie L Daniels
Environmental health : a global access science source | 2012

The causes of autism spectrum disorders (ASD) remain largely unknown and widely debated; however, evidence increasingly points to the importance of environmental exposures. A growing number of studies use geographic variability in ASD prevalence or exposure patterns to investigate the association between environmental factors and ASD. However, differences in the geographic distribution of established risk and predictive factors for ASD, such as maternal education or age, can interfere with investigations of ASD etiology. We evaluated geographic variability in the prevalence of ASD in central North Carolina and the impact of spatial confounding by known risk and predictive factors.

Pubmed ID: 23113973

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: NIEHS NIH HHS, United States
    Id: P30 ES010126
  • Agency: NIEHS NIH HHS, United States
    Id: T32ES007018
  • Agency: NCBDD CDC HHS, United States
    Id: 5-UR3-DD000089-03

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R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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ArcGIS for Desktop Basic (tool)

RRID:SCR_011081

Geographical information system software produced by Esri.

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