A shared random effects model for censored medical costs and mortality

Statistics in Medicine

Volumn 26, Issue 1, 2007, Pages 139-155

  Liu, Lei ^a,b   Wolfe, Robert A ^a   Kalbfleisch, John D ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Change point; Informative censoring; Mixed model; Proportional hazards model; Re censoring; Survival analysis

Indexed keywords

ERYTHROPOIETIN;

ALGORITHM; ANEMIA; ARTICLE; CORRELATION FUNCTION; DEATH; DRUG COST; DYING; HEALTH CARE COST; HEALTH STATISTICS; HEMODIALYSIS PATIENT; HUMAN; INFERENTIAL STATISTICS; INFORMATION PROCESSING; INTENSIVE CARE; KIDNEY FAILURE; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; MORTALITY; OUTPATIENT CARE; SURVIVAL TIME;

ALGORITHMS; BIOMETRY; COST OF ILLNESS; DRUG COSTS; EPOETIN ALFA; HEALTH CARE COSTS; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; MONTE CARLO METHOD; MORTALITY; PROPORTIONAL HAZARDS MODELS; RENAL DIALYSIS; SURVIVAL ANALYSIS;

EID: 33846197443     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2535     Document Type: Article

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