The geography of power: Statistical performance of tests of clusters and clustering in heterogeneous populations

Statistics in Medicine

Volumn 25, Issue 5, 2006, Pages 853-865

  Waller, Lance A ^a   Hill, Elizabeth G ^b   Rudd, Rose Anne ^a  

^a EMORY UNIVERSITY   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Disease clustering; Disease clusters; Medical geography; Power; Spatial patterns of disease; Spatial scan statistic

Indexed keywords

ACCURACY; ARTICLE; CLUSTER ANALYSIS; COMPUTER SYSTEM; CONGENITAL HEART MALFORMATION; DATA ANALYSIS; DISEASE SURVEILLANCE; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HEALTH STATISTICS; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; METHODOLOGY; MONTE CARLO METHOD; POPULATION RESEARCH; RISK ASSESSMENT;

ABNORMALITIES; CALIFORNIA; CARDIOVASCULAR ABNORMALITIES; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DISEASE OUTBREAKS; HUMANS; INFANT, NEWBORN; POPULATION DYNAMICS; WATER POLLUTANTS, CHEMICAL;

EID: 33644616666     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2418     Document Type: Article

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