Joint spatial Bayesian modeling for studies combining longitudinal and cross-sectional data

Statistical Methods in Medical Research

Volumn 23, Issue 6, 2014, Pages 611-624

  Lawson, Andrew B ^a   Carroll, Rachel ^a   Castro, Marcia ^b  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Bayesian; integrated Laplace approximation; Intervention; joint model; longitudinal data; malaria; spatial

Indexed keywords

ALGORITHM; ARTICLE; BAYESIAN MODEL; CROSS-SECTIONAL STUDY; FOLLOW UP; MALARIA; MALARIA CONTROL; STATISTICAL ANALYSIS; STATISTICAL MODEL; TANZANIA; BAYES THEOREM; HUMAN; LONGITUDINAL STUDY;

BAYES THEOREM; CROSS-SECTIONAL STUDIES; HUMANS; LONGITUDINAL STUDIES; MALARIA; TANZANIA;

EID: 84910631051     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214527383     Document Type: Article

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