Analyzing sequentially randomized trials based on causal effect models for realistic individualized treatment rules

Statistics in Medicine

Volumn 27, Issue 19, 2008, Pages 3689-3716

  Bembom, Oliver ^a   van der Laan, Mark J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Causal inference; Dynamic treatment regimes; IPTW estimator; Sequentially randomized trials

Indexed keywords

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ANALYTIC METHOD; ARTICLE; CAUSAL MODELING; CD4 LYMPHOCYTE COUNT; COMPUTER PROGRAM; CONFIDENCE INTERVAL; CONTROLLED STUDY; DRUG RESPONSE; DRUG SUBSTITUTION; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INDIVIDUALIZATION; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; METHODOLOGY; OUTCOMES RESEARCH; PROBABILITY; SALVAGE THERAPY; SAMPLE SIZE; SIMULATION; TREATMENT PLANNING; VALIDITY;

CAUSALITY; COMPUTER SIMULATION; CONFIDENCE INTERVALS; DATA INTERPRETATION, STATISTICAL; HIV INFECTIONS; HUMANS; MODELS, STATISTICAL; PHARMACOGENETICS; RANDOMIZED CONTROLLED TRIALS AS TOPIC;

EID: 50449099748     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3268     Document Type: Article

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