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Volumn 64, Issue 2, 2008, Pages 546-556
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Modeling longitudinal data with nonparametric multiplicative random effects jointly with survival data
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Author keywords
B splines; EM algorithm; Functional data analysis; Missing data; Monte Carlo integration
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Indexed keywords
INTERPOLATION;
ITERATIVE METHODS;
MAXIMUM PRINCIPLE;
MONTE CARLO METHODS;
RANDOM PROCESSES;
B SPLINES;
EM ALGORITHMS;
FUNCTIONAL DATA ANALYSIS;
LONGITUDINAL DATA;
MISSING DATA;
MONTE CARLO INTEGRATION;
NONPARAMETRICS;
RANDOM EFFECTS;
RANDOM EFFECTS MODEL;
SURVIVAL DATA;
BIOMARKERS;
BILIRUBIN;
PENICILLAMINE;
ALGORITHM;
BIOMARKER;
DISEASE;
MODELING;
MONITORING;
MONTE CARLO ANALYSIS;
SERUM;
SURVIVAL;
ARTICLE;
CONTROLLED STUDY;
DISEASE COURSE;
EXPERIMENTAL MODEL;
HUMAN;
LONGITUDINAL STUDY;
MAJOR CLINICAL STUDY;
MONTE CARLO METHOD;
PRIMARY BILIARY CIRRHOSIS;
SIMULATION;
SURVIVAL RATE;
SURVIVAL TIME;
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EID: 43749089133
PISSN: 0006341X
EISSN: 15410420
Source Type: Journal
DOI: 10.1111/j.1541-0420.2007.00896.x Document Type: Article |
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Times cited : (69)
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References (27)
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