Modeling antitumor activity by using a non-linear mixed-effects model

Mathematical Biosciences

Volumn 189, Issue 1, 2004, Pages 61-73

  Liang, Hua ^a   Sha, Naijun ^b  

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

^b UNIVERSITY OF TEXAS AT EL PASO   (United States)

Author keywords

Informative dropout; Longitudinal data; Repeated measurements; Tumor response; Tumor xenograft models

Indexed keywords

DECISION MAKING; NONLINEAR SYSTEMS; PATIENT TREATMENT;

ANTITUMOR ACTIVITY; ANTITUMOR EFFECTS;

TUMORS;

ANTINEOPLASTIC AGENT; IRINOTECAN; TEMOZOLOMIDE;

MODELING; TUMOR;

ANTINEOPLASTIC ACTIVITY; ARTICLE; COMPARATIVE STUDY; DRUG RESPONSE; MATHEMATICAL MODEL; MEDICAL DECISION MAKING; NONLINEAR SYSTEM; SAMPLE SIZE; SENSITIVITY ANALYSIS; TREATMENT OUTCOME; TUMOR VOLUME; TUMOR XENOGRAFT;

ALGORITHMS; ANIMALS; ANTINEOPLASTIC AGENTS; ANTINEOPLASTIC COMBINED CHEMOTHERAPY PROTOCOLS; CAMPTOTHECIN; COMPUTER SIMULATION; DACARBAZINE; DATA INTERPRETATION, STATISTICAL; HUMANS; MICE; NEOPLASMS; NONLINEAR DYNAMICS; RHABDOMYOSARCOMA; TREATMENT OUTCOME; XENOGRAFT MODEL ANTITUMOR ASSAYS;

EID: 1642401697     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2004.01.002     Document Type: Article

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