Causal inference in epidemiological studies with strong confounding

Statistics in Medicine

Volumn 31, Issue 13, 2012, Pages 1380-1404

  Moore, Kelly L ^a   Neugebauer, Romain ^b   Van der Laan, Mark J ^a   Tager, Ira B ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b DIVISION OF RESEARCH   (United States)

Author keywords

Causal inference; Dynamic treatment regimes; IPTW estimator

Indexed keywords

ARTICLE; CAUSAL MODELS FOR REALISTIC INDIVIDUALIZED EXPOSURE RULE; DATA ANALYSIS; DYNAMICS; EPIDEMIOLOGY; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; METHODOLOGY; POLICY; POLLUTION; SIMULATION; STATISTICAL MODEL; STATISTICAL PARAMETERS;

AIR POLLUTION; ASTHMA; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC STUDIES; HUMANS; MODELS, STATISTICAL; OZONE;

EID: 84861198702     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4469     Document Type: Article

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