1Rubin DB.Inference and missing data.Biometrika,1976,63(3):581-592.
2Rubin DB.Multiple imputation: a primer.Statistical Methods in Medical Research,1999,8(1):3-15.
3James MR.Inference for imputation estimators.Biometrika,2000,87(1):113-124.
4SAS Institute Inc.SAS/STAT 9 User's Guide.North Carolina: SAS Institute Inc,2003.
同被引文献20
1Abraham W T, Russell D W. Missing data: a review of current methods and applications in epidemiological research [J]. Current Opinion in Psychiatry, 2004, 17(4): 315-321.
2SAS Institute Inc. SAS/STAT 9 User's Guide[M]. North Carolina: SAS Institute Inc, 2003.
3Streiner D L, Finkle W D. The case of the missing Data: Methods of dealing with dropouts and other research vagaries [J]. Can. J. Psychiatry, 2002, 47(1): 68-75.
6Schafer JL, Olsen MK. Multiple imputation for multivariate missing-data problems: a data analyst' s perspective. Multivariate Behavioral Research,33 ( 4 ) : 545-571.
7MCMC method for arbitrary missing data. SAS/STAT 9 User' s guide. North Carolina: SAS Institute Inc ,2002 : 159-169.
8Barzi F. Imputations of missing values in practice : results from imputa-tions of serum cholesterol in 28 cohort studies. American Journal of Ep-idemiology ,2004,160( 1) :38-39.
9Wood A, White IR,Thompson SG. Are missing outcome data adequate-ly handled. A review of published randomized controlled trials. ClinicalTrials,2004,1(4) :368-376.
10Arnold AM, Kronmal RA. Multiple imputation of baseline data in thecardiovascular health study. American Journal of Epidemiology, 2003,157(1) :74.