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

American Journal of Ophthalmology

Volumn 148, Issue 6, 2009, Pages 820-822

  Belin, Thomas R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL RESEARCH; COMPUTER PROGRAM; DATA ANALYSIS; DATA SYNTHESIS; EDITORIAL; METHODOLOGY; PRIORITY JOURNAL; RETINA MACULA LUTEA; STATISTICAL ANALYSIS; VISUAL ACUITY;

CATARACT EXTRACTION; DATA INTERPRETATION, STATISTICAL; HUMANS; OPHTHALMOLOGY; OUTCOME ASSESSMENT (HEALTH CARE); RANDOMIZED CONTROLLED TRIALS AS TOPIC; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN;

EID: 70449916660     PISSN: 00029394     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ajo.2009.07.027     Document Type: Editorial

References (5)

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