Colombia / United States / Iceland / United Kingdom / Wales / / /
Event
Man-Made Disaster / /
Facility
National Cancer Institute / Martin Kulldorff University of Connecticut / Los Alamos National Laboratory / University of Connecticut School / /
IndustryTerm
computational algorithm / periodic geographical surveillance systems / simultaneous solution / important tool / /
MedicalCondition
periodic geographical disease / cancer / male thyroid cancer / disease / previously unknown diseases / soft tissue sarcoma / localized infectious disease / particular infectious disease / leukaemia / incident breast cancer / New Mexico thyroid cancer / Chronic disease / diseases / regular time periodic disease / purely temporal disease / periodic infectious disease / infectious diseases / chronic diseases / infection / late stage breast cancer / thyroid cancer / geographical disease / Infectious disease / birth defects / systemic sclerosis / /
MedicalTreatment
radiation treatment / radiation / /
Organization
National Cancer Institute / Royal Statistical Society / University of Connecticut School of Medicine / Division of Biostatistics / University of Connecticut / Department of Community Medicine and Health Care / Department of Health / /
Person
John Bithell / Lawson / Williams / Miguel Bernalillo / Martin Kulldorff / Valencia Bernalillo / Helen Dolk / /
Position
benign head / radiology technician / /
Product
Santa Fe / /
ProvinceOrState
Sandoval / New Mexico / Los Alamos County / Lincoln County / Rio Arriba / Hawaii / Los Alamos / San Juan / Connecticut / Catron / /
J. R. Statist. Soc. A[removed], Part 1, pp. 61^72 Prospective time periodic geographical disease surveillance using a scan statistic Martin Kulldorff