Second-order analysis of inhomogeneous spatial point processes using case-control data

Biometrics

Volumn 63, Issue 2, 2007, Pages 550-557

  Diggle, P J ^a   Gomez Rubio V ^b   Brown, P E ^a   Chetwynd, A G ^a   Gooding, S ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Case control study; Ecology; Environmental epidemiology; Kernel smoothing; Monte Carlo test; Nonstationary spatial point process

Indexed keywords

MONTE CARLO METHODS; POPULATION STATISTICS; PROCESS CONTROL; SPATIAL VARIABLES MEASUREMENT;

CASE-CONTROL; CASE-CONTROL STUDY; CONTROL DATA; ENVIRONMENTAL EPIDEMIOLOGY; KERNEL SMOOTHING; MONTE CARLO TESTS; NONSTATIONARY; NONSTATIONARY SPATIAL POINT PROCESS; PROCESS DATA; SPATIAL POINT PROCESS;

ECOLOGY;

DISEASE CONTROL; ESTIMATION METHOD; GEOGRAPHICAL REGION; JUVENILE; STATISTICAL ANALYSIS; SURVIVAL; TREE;

ARTICLE; CASE CONTROL STUDY; CLUSTER ANALYSIS; COMPARATIVE STUDY; COVARIANCE; DATA ANALYSIS; ECOLOGY; SAMPLING; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; TROPICAL RAIN FOREST;

EID: 34547690797     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2006.00683.x     Document Type: Article

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