Semiparametric transformation models with random effects for joint analysis of recurrent and terminal events

Biometrics

Volumn 65, Issue 3, 2009, Pages 746-752

  Zeng, Donglin ^a   Lin, D Y ^a  

^a IL   (United States)

Author keywords

Censoring; EM algorithm; Informative dropout; Joint models; Nonparametric maximum likelihood; Proportional hazards; Proportional odds; Random effects; Recurrent events; Shared frailty

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION;

CENSORING; EM ALGORITHMS; INFORMATIVE DROPOUT; JOINT MODELS; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; NONPARAMETRIC MAXIMUM LIKELIHOOD; NONPARAMETRICS; PROPORTIONAL HAZARDS; PROPORTIONAL ODD; RANDOM EFFECTS; RECURRENT EVENTS; SHARED FRAILTY;

RANDOM PROCESSES;

ALGORITHM; ESTIMATION METHOD; MODELING; NUMERICAL METHOD;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ALGORITHM; ARTICLE; HAZARD RATIO; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MAXIMUM LIKELIHOOD METHOD; RANDOMIZATION; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS;

BIOMETRY; CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EFFECT MODIFIERS (EPIDEMIOLOGY); ENDPOINT DETERMINATION; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; PROPORTIONAL HAZARDS MODELS; RECURRENCE; REGRESSION ANALYSIS;

EID: 70349243621     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01126.x     Document Type: Article

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