Long-term survivor model with bivariate random effects: Applications to bone marrow transplant and carcinoma study data

Statistics in Medicine

Volumn 27, Issue 27, 2008, Pages 5692-5708

  Lai, Xin ^a,b   Yau, Kelvin K W ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Bivariate random effects; Cured patients; EM algorithm; GLMM; Long term survivor

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ALGORITHM; ARTICLE; BONE MARROW TRANSPLANTATION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER SIMULATION; FOLLOW UP; HUMAN; KAPLAN MEIER METHOD; MORTALITY; MULTICENTER STUDY; OROPHARYNX TUMOR; RANDOMIZED CONTROLLED TRIAL; SQUAMOUS CELL CARCINOMA; STATISTICAL MODEL; SURVIVAL; TIME;

ALGORITHMS; BONE MARROW TRANSPLANTATION; CARCINOMA, SQUAMOUS CELL; CLUSTER ANALYSIS; COMPUTER SIMULATION; FOLLOW-UP STUDIES; HUMANS; KAPLAN-MEIERS ESTIMATE; LEUKEMIA, MYELOID, ACUTE; MODELS, STATISTICAL; MULTICENTER STUDIES AS TOPIC; OROPHARYNGEAL NEOPLASMS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SURVIVAL ANALYSIS; TIME FACTORS;

EID: 58749113457     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3404     Document Type: Article

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