A semiparametric joint model for longitudinal and survival data with application to hemodialysis study

Biometrics

Volumn 65, Issue 3, 2009, Pages 737-745

  Li, Liang ^a   Hu, Bo ^a   Greene, Tom ^b  

^a LERNER RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

Corrected score; Cox model; Joint modeling; Measurement error; Regression spline; Shared parameter model

Indexed keywords

BIOMARKERS; DIALYSIS; HEMODIALYZERS; PARAMETER ESTIMATION;

CONDITIONAL DISTRIBUTION; CORRECTED SCORE; COX MODEL; HAEMODIALYSIS; JOINT MODELS; LONGITUDINAL DATA; PARAMETER MODEL; REGRESSION SPLINES; SHARED PARAMETER MODEL; SURVIVAL DATA;

MEASUREMENT ERRORS;

ESTIMATION METHOD; LONGITUDINAL GRADIENT; MEASUREMENT METHOD; MODELING; SURVIVAL;

ARTICLE; DISEASE SIMULATION; HEMODIALYSIS; LINEAR REGRESSION ANALYSIS; LONGITUDINAL STUDY; MULTIVARIATE ANALYSIS OF COVARIANCE; NORMAL DISTRIBUTION; OUTCOME ASSESSMENT; POISSON DISTRIBUTION; PROPORTIONAL HAZARDS MODEL; STATISTICAL MODEL; SURVIVAL TIME;

BIOMETRY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; KIDNEY FAILURE, CHRONIC; MALE; MODELS, STATISTICAL; PROPORTIONAL HAZARDS MODELS; RENAL DIALYSIS; RISK ASSESSMENT; RISK FACTORS; SURVIVAL ANALYSIS; SURVIVAL RATE;

EID: 70349249856     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01168.x     Document Type: Article

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