A comparison of multiple imputation and fully augmented weighted estimators for Cox regression with missing covariates

Statistics in Medicine

Volumn 29, Issue 25, 2010, Pages 2592-2604

  Qi, Lihong ^a   Wang, Ying Fang ^b   He, Yulei ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Accelerated failure time model; Augmented inverse probability weighted estimators; Doubly robust property; Missing data; Proportional hazards model; Survival analysis

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; EPIDEMIOLOGICAL DATA; FULLY AUGMENTED WEIGHTED ESTIMATOR; MULTIPLE IMPUTATION; PROPORTIONAL HAZARDS MODEL; SIMULATION; STATISTICAL ANALYSIS; SURVIVAL;

ANALYSIS OF VARIANCE; AUTISTIC DISORDER; BIAS (EPIDEMIOLOGY); COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ENVIRONMENTAL POLLUTANTS; HALOGENATED DIPHENYL ETHERS; HUMANS; LANGUAGE DISORDERS; MALE; MODELS, STATISTICAL; PROPORTIONAL HAZARDS MODELS; REGRESSION ANALYSIS; RISK ASSESSMENT;

EID: 77958605331     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4016     Document Type: Article

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