A flexible spatial scan statistic with a restricted likelihood ratio for detecting disease clusters

Statistics in Medicine

Volumn 31, Issue 30, 2012, Pages 4207-4218

  Tango, Toshiro ^a   Takahashi, Kunihiko ^b  

^a Center for Medical Statistics   (Japan)

^b NATIONAL INSTITUTE OF PUBLIC HEALTH   (Japan)

Author keywords

Cluster detection; Hotspot cluster; Likelihood ratio statistic; Monte Carlo testing; Spatial epidemiology

Indexed keywords

ARTICLE; BIVARIATE ANALYSIS; CLUSTER ANALYSIS; DISEASE CLASSIFICATION; FLEXIBLE SPATIAL SCAN STATISTICAL ANALYSIS WITH RESTRICTED LIKELIHOOD RATIO; INTERMETHOD COMPARISON; JAPAN; K NEAREST NEIGHBOR; KULLDORFF CIRCULAR SPATIAL SCAN STATISTICAL ANALYSIS; MONTE CARLO METHOD; NULL HYPOTHESIS; ORIGINAL FLEXIBLE SPATIAL SCAN STATISTICAL ANALYSIS; POISSON DISTRIBUTION; PROBABILITY; RISK FACTOR; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BIAS (EPIDEMIOLOGY); CARDIOVASCULAR DISEASES; COMPUTER SIMULATION; DISEASE OUTBREAKS; EPIDEMIOLOGIC RESEARCH DESIGN; FEMALE; HUMANS; JAPAN; LIKELIHOOD FUNCTIONS; MALE; MONTE CARLO METHOD; POISSON DISTRIBUTION; RISK; SPACE-TIME CLUSTERING; TOKYO;

EID: 84870953273     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5478     Document Type: Article

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