Joint models for a primary endpoint and multiple longitudinal covariate processes

Biometrics

Volumn 63, Issue 4, 2007, Pages 1068-1078

  Li, Erning ^a   Wang, Naisyin ^a   Wang, Nae Yuh ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Asymptotic bias; Conditional score; Generalized linear model; Measurement error; Multivariate longitudinal data; Sufficiency score; Variance components

Indexed keywords

MEASUREMENT ERRORS; RANDOM ERRORS; RANDOM PROCESSES;

ASYMPTOTIC BIAS; CONDITIONAL SCORE; COVARIATES; GENERALIZED LINEAR MODEL; JOINT MODELS; LONGITUDINAL DATA; MULTIVARIATE LONGITUDINAL DATA; RANDOM EFFECTS; SUFFICIENCY SCORE; VARIANCE COMPONENTS;

BIOMETRICS;

COVARIANCE ANALYSIS; ERROR ANALYSIS; HYPERTENSION; MULTIVARIATE ANALYSIS; SIMULATION;

ARTICLE; COMPUTER PROGRAM; DATA ANALYSIS; JOINT MODEL; MEASUREMENT ERROR; MULTIVARIATE ANALYSIS OF COVARIANCE; SENSITIVITY AND SPECIFICITY; SIMULATION; STATISTICAL DISTRIBUTION; STATISTICAL MODEL;

DAVIDIA;

EID: 36749005103     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00822.x     Document Type: Article

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