Predicting viral infection from high-dimensional biomarker trajectories

Journal of the American Statistical Association

Volumn 106, Issue 496, 2011, Pages 1259-1279

  Chen, Minhua ^a   Zaas, Aimee ^b   Woods, Christopher ^b   Ginsburg, Geoffrey S ^b   Lucas, Joseph ^b   Dunson, David ^c   Carin, Lawrence ^d  

^a Electrical and Computer Engineering Department   (United States)

^b DUKE UNIVERSITY   (United States)

^c Department of Statistical Science ^*  (United States)

^d Duke University   (United States)

Author keywords

Bayesian nonparametrics; Dynamic factor analysis; High dimensional; Infectious disease; Joint model; Multidimensional longitudinal data; Multivariate functional data; Predictive model

Indexed keywords

EID: 84862961816     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/jasa.2011.ap10611     Document Type: Article

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