Mapping disease at an approximated individual level using aggregate data: A case study of mapping New Hampshire birth defects

International Journal of Environmental Research and Public Health

Volumn 10, Issue 9, 2013, Pages 4161-4174

  Shi, Xun ^a   Miller, Stephanie ^b   Mwenda, Kevin ^c   Onda, Akikazu ^a   Reese, Judy ^b   Onega, Tracy ^b   Gui, Jiang ^b   Karagas, Margret ^b   Demidenko, Eugene ^b   Moeschler, John ^b  

^a Dartmouth College   (United States)

^b DARTMOUTH MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Aggregate data; Birth defects; Disaggregation; Disease mapping; Monte Carlo; New Hampshire

Indexed keywords

DISEASE; ENVIRONMENTAL FACTOR; MAPPING; MONTE CARLO ANALYSIS; SPATIAL ANALYSIS;

ADOLESCENT; ADULT; ARTICLE; BIRTH DEFECT; CASE STUDY; DISEASE MAPPING; FEMALE; GEOGRAPHIC DISTRIBUTION; HUMAN; INFORMATION PROCESSING; MONTE CARLO METHOD; RANDOMIZATION; RESTRICTED AND CONTROLLED MONTE CARLO METHOD; UNITED STATES;

NEW HAMPSHIRE; UNITED STATES;

ADOLESCENT; ADULT; CONGENITAL ABNORMALITIES; FEMALE; HUMANS; MIDDLE AGED; MONTE CARLO METHOD; NEW HAMPSHIRE; TOPOGRAPHY, MEDICAL; YOUNG ADULT;

EID: 84883691869     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph10094161     Document Type: Article

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