Analysis of longitudinal data in the presence of informative observational times and a dependent terminal event, with application to medical cost data

Biometrics

Volumn 64, Issue 3, 2008, Pages 950-958

  Liu, Lei ^a   Huang, Xuelin ^b   O'Quigley, John ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

^b UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

Frailty model; Informative drop out; Longitudinal medical costs; Piecewise constant baseline hazard; Proportional hazards model; Recurrent marker; Survival analysis

Indexed keywords

COST BENEFIT ANALYSIS; PATIENT TREATMENT; RANDOM PROCESSES;

DROP-OUT; FRAILTY MODELS; INFORMATIVE DROP-OUT; LONGITUDINAL MEDICAL COST; PIECE-WISE CONSTANTS; PIECEWISE CONSTANT BASELINE HAZARD; PROPORTIONAL HAZARD MODELS; RECURRENT MARKER; REPEATED MEASURES; SURVIVAL ANALYSIS;

HAZARDS;

BASELINE CONDITIONS; ESTIMATION METHOD; GAUSSIAN METHOD; HEALTH EXPENDITURE; MODELING; MORTALITY; SURVIVAL;

ARTICLE; HAZARD; HEALTH CARE COST; NORMAL DISTRIBUTION; OBSERVATIONAL STUDY; RANDOMIZATION;

EID: 49749152044     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00954.x     Document Type: Article

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