Repeated-measures models with constrained parameters for incomplete data in tumour xenograft experiments

Statistics in Medicine

Volumn 24, Issue 1, 2005, Pages 109-119

  Tan, Ming ^a   Fang, Hong Bin ^a   Tian, Guo Liang ^a   Houghton, Peter J ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

Author keywords

ECM algorithm; Longitudinal data; Missingness; MLE; Truncation; Tumour xenograft models

Indexed keywords

IRINOTECAN; TEMOZOLOMIDE;

ALGORITHM; ANIMAL EXPERIMENT; ANIMAL MODEL; ANTINEOPLASTIC ACTIVITY; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; COVARIANCE; FATALITY; HUMAN; HUMAN CELL; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; MOUSE; NONHUMAN; RANDOMIZATION; REGRESSION ANALYSIS; RHABDOMYOSARCOMA; SAMPLE SIZE; STATISTICAL MODEL; TUMOR GROWTH; TUMOR VOLUME; TUMOR XENOGRAFT;

ALGORITHMS; ANIMALS; ANTINEOPLASTIC COMBINED CHEMOTHERAPY PROTOCOLS; CAMPTOTHECIN; DACARBAZINE; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MICE; MICE, SCID; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEOPLASMS, EXPERIMENTAL; RHABDOMYOSARCOMA; XENOGRAFT MODEL ANTITUMOR ASSAYS;

EID: 11344295069     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1775     Document Type: Article

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