Spatial multistate transitional models for longitudinal event data

Biometrics

Volumn 64, Issue 1, 2008, Pages 271-279

  Nathoo, F S ^a   Dean, C B ^b  

^a UNIVERSITY OF VICTORIA   (Canada)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Acute coronary syndrome; Event history analysis; Mixed Markov process; Multi state model; Multivariate Markov random field

Indexed keywords

CONTINUOUS TIME SYSTEMS; WEIBULL DISTRIBUTION;

ACUTE CORONARY SYNDROME; CORONARY SYNDROMES; EVENT HISTORY ANALYSIS; FOLLOW UP; LONGITUDINAL DATA; MARKOV RANDOM FIELDS; MIXED MARKOV PROCESS; MULTI-STATE; MULTI-STATE MODEL; MULTIVARIATE MARKOV RANDOM FIELD;

MARKOV PROCESSES;

CARDIOVASCULAR DISEASE; MARKOV CHAIN; MODELING; MORTALITY; MULTIVARIATE ANALYSIS; SPATIAL ANALYSIS;

ACUTE CORONARY SYNDROME; ARTICLE; HOSPITAL ADMISSION; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MORTALITY; PROBABILITY; REVASCULARIZATION;

EID: 39849105355     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00785.x     Document Type: Article

References (23)