Editorial: What to do with missing data?

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 170, Issue 4, 2007, Pages 861-863

  Molenberghs, Geert ^a  

^a HASSELT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34848815106     PISSN: 09641998     EISSN: 1467985X     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2007.00504.x     Document Type: Editorial

References (9)

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2. van der Laan, M. J. Robins, J. (2003) Unified Methods for Censored Longitudinal Data and Causality. New York : Springer.
3. Little, R. J. A. Rubin, D. B. (1987) Statistical Analysis with Missing Data. New York : Wiley.
4. Little, R. J. A. Rubin, D. B. (2002) Statistical Analysis with Missing Data, 2nd edn. New York : Wiley.
5. Molenberghs, G. Kenward, M. G. (2007) Missing Data in Clinical Studies. Chichester : Wiley.
6. Robins, J. M., Rotnizky, A. Zhao, L. P. (1994) Estimation of regression coefficients when some regressors are not always observed. J. Am. Statist. Ass., 89, 846 866.
7. Rubin, D. B. (1976) Inference and missing data. Biometrika, 63, 581 592.
8. Rubin, D. B. (1987) Multiple Imputation for Nonresponse in Surveys. New York : Wiley.
9. Tsiatis, A. A. (2006) Semiparametric Theory and Missing Data. New York : Springer.