Log Gaussian Cox processes and spatially aggregated disease incidence data

Statistical Methods in Medical Research

Volumn 21, Issue 5, 2012, Pages 479-507

  Li, Ye ^a,b   Brown, Patrick ^a,c   Gesink, Dionne C ^a   Rue, Håvard ^d  

^a UNIVERSITY OF TORONTO   (Canada)

^b PUBLIC HEALTH ONTARIO   (Canada)

^c CANCER CARE ONTARIO   (Canada)

^d NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

data augmentation; disease mapping; Geostatistics; Markov random field

Indexed keywords

CONFERENCE PAPER; CONTROLLED STUDY; INCIDENCE; INFORMATION PROCESSING; LOG GAUSSIAN COX MODEL; METHODOLOGY; NORMAL DISTRIBUTION; PROCESS MODEL; PROPORTIONAL HAZARDS MODEL; RISK FACTOR; STATISTICAL MODEL; SYPHILIS; UNITED STATES;

HUMANS; INCIDENCE; MODELS, STATISTICAL; NORTH CAROLINA; RISK FACTORS; SYPHILIS;

EID: 84867360156     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280212446326     Document Type: Conference Paper

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