American Journal of Ophthalmology
Volume 148, Issue 6 , Pages 820-822 , December 2009

Missing Data: What a Little Can Do, and What Researchers Can Do in Response

  • Thomas R. Belin

      Affiliations

    • Corresponding Author InformationInquiries to Thomas R. Belin, UCLA Department of Biostatistics, 51-267 Center for Health Sciences, Los Angeles, CA 90095

,Accepted 20 July 2009.

References 

  1. Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons; 1987;
  2. Rubin DB. Multiple imputation after 18+ years (with discussion). J Am Stat Assoc. 1996;91:473–489
  3. Schafer JL. Multiple imputation: a primer. Stat Methods Med Res. 1999;8:3–15
  4. Little RJA, Rubin DB. Statistical Analysis with Missing Data, 2nd ed. New York: John Wiley & Sons; 2002;
  5. Wainer H. Eelworms, bullet holes, and Geraldine Ferraro: some problems with statistical adjustment and some solutions. J Educ Stat. 1989;14:121–140

PII: S0002-9394(09)00539-X

doi: 10.1016/j.ajo.2009.07.027

American Journal of Ophthalmology
Volume 148, Issue 6 , Pages 820-822 , December 2009