Improving propensity score weighting using machine learning

Statistics in Medicine

Volumn 29, Issue 3, 2010, Pages 337-346

  Lee, Brian K ^a   Lessler, Justin ^b   Stuart, Elizabeth A ^b  

^a DREXEL UNIVERSITY   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Boosting; CART; Data mining; Ensemble methods; Machine learning; Propensity score; Simulation; Weighting

Indexed keywords

ARTICLE; CLASSIFICATION AND REGRESSION TREES; CONFIDENCE INTERVAL; CONTROLLED STUDY; COVARIANCE; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; PROPENSITY SCORE; RANDOM FOREST; SAMPLE SIZE; SCORING SYSTEM; SIMULATION;

ARTIFICIAL INTELLIGENCE; BIAS (EPIDEMIOLOGY); COMPUTER SIMULATION; LOGISTIC MODELS; NONLINEAR DYNAMICS; PROPENSITY SCORE; REGRESSION ANALYSIS;

EID: 74749097452     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3782     Document Type: Article

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