Predicting renal graft failure using multivariate longitudinal profiles

Biostatistics

Volumn 9, Issue 3, 2008, Pages 419-431

  Fieuws, Steffen ^a   Verbeke, Geert ^a   Maes, Bart ^b   Vanrenterghem, Yves ^c  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b Heilig Hart Ziekenhuis   (Belgium)

^c UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

Discriminant analysis; High dimensional; Joint modeling; Longitudinal profiles; Multivariate mixed models

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BIOMETRY; BLOOD; BLOOD PRESSURE; DISCRIMINANT ANALYSIS; GLOMERULUS FILTRATION RATE; GRAFT REJECTION; HEMATOCRIT; HUMAN; IMMUNOLOGY; KIDNEY TRANSPLANTATION; LONGITUDINAL STUDY; METHODOLOGY; MULTIVARIATE ANALYSIS; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; PROTEINURIA; STATISTICAL MODEL; STATISTICS; URINE;

BAYES THEOREM; BIOLOGICAL MARKERS; BIOMETRY; BLOOD PRESSURE; DISCRIMINANT ANALYSIS; GLOMERULAR FILTRATION RATE; GRAFT REJECTION; HEMATOCRIT; HUMANS; KIDNEY TRANSPLANTATION; LONGITUDINAL STUDIES; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NONLINEAR DYNAMICS; PROTEINURIA; STOCHASTIC PROCESSES;

EID: 45849092498     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxm041     Document Type: Article

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