SEARCH

SEARCH BY CITATION

REFERENCES

  • 1
    Rubin DB. Multiple Imputation for Nonresponse in Surveys. Wiley: New York, 1987.
  • 2
    Royston P. Multiple imputation of missing values. The Stata Journal 2004; 4:227241.
  • 3
    Royston P. Multiple imputation of missing values: update. The Stata Journal 2005; 5:188201.
  • 4
    SAS Institute Inc. SAS/STAT 9.1 User's Guide, Chapter 46. SAS Institute Inc.: Cary, NC, 2004.
  • 5
    van Buuren S, Oudshoorn CGM. Multivariate imputation by chained equations: MICE V1.0 user's manual. TNO Report PG/VGZ/00.038, TNO Preventie en Gezondheid, Leiden, 2000. Available from: http://www.multiple-imputation.com/.
  • 6
    Rubin DB, Schenker N. Multiple imputation for interval estimation from simple random samples with ignorable nonresponse. Journal of the American Statistical Association 1986; 81:366374.
  • 7
    Fay RE. When are inferences from multiple imputation valid? Proceedings of the Survey Research Methods Section of the American Statistical Association, vol. 81, 1992; 227232.
  • 8
    Schafer JL. Analysis of Incomplete Multivariate Data. Chapman & Hall: London, 1997.
  • 9
    Moons KG, Donders RA, Stijnen T, Harrell Jr FE. Using the outcome for imputation of missing predictor values was preferred. Journal of Clinical Epidemiology 2006; 59:10921101.
  • 10
    van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine 1999; 18:681694.
  • 11
    Clark TG, Altman DG. Developing a prognostic model in the presence of missing data: an ovarian cancer case study. Journal of Clinical Epidemiology 2003; 56:2837.
  • 12
    Barzi F, Woodward M. Imputations of missing values in practice: results from imputations of serum cholesterol in 28 cohort studies. American Journal of Epidemiology 2004; 160:3445.
  • 13
    Schafer JL. 2008. Available from: http://www.stat.psu.edu/∼jls/misoftwa.html.
  • 14
    Little RJA, Rubin DB. Statistical Analysis with Missing Data (2nd edn). Wiley: Hoboken, NJ, 2002.
  • 15
    Medical Research Council Renal Cancer Collaborators. Interferon-alpha and survival in metastatic renal carcinoma: early results of a randomised controlled trial. Lancet 1999; 353:1417.
  • 16
    Royston P, Sauerbrei W. Multivariable Model-building: A Pragmatic Approach to Regression Analysis Based on Fractional Polynomials for Modelling Continuous Variables. Wiley: Chichester, 2008.
  • 17
    Li KH, Raghunathan TE, Rubin DB. Large-sample significance levels from multiply imputed data using mopment-based statistics and an F reference distribution. Journal of the American Statistical Association 1991; 86:10651073.
  • 18
    Collett D. Modelling Survival Data in Medical Research. Chapman & Hall: London, 1994.
  • 19
    Little RJA. Missing-data adjustments in large surveys. Journal of Business and Economic Statistics 1988; 6:287296.