Semiparametric estimation of the average causal effect of treatment on an outcome measured after a postrandomization event, with missing outcome data

Biostatistics

Volumn 11, Issue 1, 2010, Pages 34-47

  Gilbert, Peter B ^a,b   Jin, Yuying ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b USA   (United States)

Author keywords

Causal inference; HIV vaccine trial; Missing at random; Posttreatment selection bias; Principal stratification; Sensitivity analysis

Indexed keywords

HUMAN IMMUNODEFICIENCY VIRUS VACCINE;

ALGORITHM; ARTICLE; BLOOD; CD4 LYMPHOCYTE COUNT; COMPUTER SIMULATION; EPIDEMIOLOGY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; METHODOLOGY; RANDOMIZED CONTROLLED TRIAL; REGRESSION ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME; VIROLOGY; VIRUS LOAD;

AIDS VACCINES; ALGORITHMS; CAUSALITY; CD4 LYMPHOCYTE COUNT; COMPUTER SIMULATION; HIV INFECTIONS; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGRESSION ANALYSIS; SELECTION BIAS; TREATMENT OUTCOME; VIRAL LOAD;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 72649092234     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxp034     Document Type: Article

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