Risk-group-specific dose finding based on an average toxicity score

Biometrics

Volumn 66, Issue 2, 2010, Pages 541-548

  Bekele, B Nebiyou ^a   Li, Yisheng ^a   Ji, Yuan ^a  

^a UNIVERSITY OF TEXAS   (United States)

Author keywords

Adaptive design; Average toxicity score; Bayesian inference; Isotonic regression

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES;

ADAPTIVE DESIGNS; AVERAGE TOXICITY SCORE; BAYESIAN; BAYESIAN INFERENCE; DIRICHLET PRIOR; DOSE FINDING; ISOTONIC REGRESSION; LIKELIHOOD FUNCTIONS; MULTINOMIALS; RISK GROUPS;

TOXICITY;

BAYESIAN ANALYSIS; DISEASE SEVERITY; DOSE-RESPONSE RELATIONSHIP; HETEROGENEITY; PROBABILITY; RISK ASSESSMENT; SIMULATION;

ANTINEOPLASTIC AGENT;

ADVERSE DRUG REACTION; BAYES THEOREM; COMPLICATION; COMPUTER SIMULATION; DOSE RESPONSE; HUMAN; MULTIPLE MYELOMA; PERSONALIZED MEDICINE; PROBABILITY; PROCEDURES; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; TOXICITY;

ANTINEOPLASTIC AGENTS; BAYES THEOREM; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, DRUG; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; HUMANS; INDIVIDUALIZED MEDICINE; MULTIPLE MYELOMA; PROBABILITY; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX;

EID: 77953010578     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01297.x     Document Type: Article

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