A flexible B-spline model for multiple longitudinal biomarkers and survival

Biometrics

Volumn 61, Issue 1, 2005, Pages 64-73

  Brown, Elizabeth R ^a   Ibrahim, Joseph G ^b   DeGruttola, Victor ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b IL   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Bayesian methods; Cubic B splines; Joint longitudinal and survival model; Model assessment

Indexed keywords

BAYESIAN NETWORKS; HAZARDS; MARKOV PROCESSES;

B-SPLINE MODELS; BAYESIAN METHODS; CUBIC B -SPLINE; JOINT LONGITUDINAL AND SURVIVAL MODEL; LINEAR MODELING; LONGITUDINAL DATA; LONGITUDINAL MODELS; MODEL ASSESSMENT; SURVIVAL DATA; SURVIVAL MODEL;

INTERPOLATION;

BIOLOGICAL MARKER; CD4 ANTIGEN;

BAYESIAN ANALYSIS; MARKOV CHAIN; MODEL VALIDATION; MONTE CARLO ANALYSIS; RISK ASSESSMENT;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ALGORITHM; ARTICLE; BAYES THEOREM; LONGITUDINAL STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; NONBIOLOGICAL MODEL; NONPARAMETRIC TEST; PROBABILITY; SIMULATION; STATISTICAL MODEL; SURVIVAL; VIRUS LOAD;

EID: 15044356987     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2005.030929.x     Document Type: Article

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