Youtor
YOUR LINK HERE:
http://youtube.com/watch?v=ytQedMywOjQ
Technique for replacing missing data using the regression method. Appropriate for data that may be missing randomly or non-randomly. Also appropriate for data that will be used in inferential analysis. Determining randomness of missing data can be confirmed with Little's MCAR Test ( • How to Use SPSS: Little's Missing Com... ). • Resources: • FAQ- http://sites.stat.psu.edu/~jls/mifaq.... • Schafer, Joseph L. Multiple imputation: a primer. Statistical methods in medical research 8.1 (1999): 3-15. • Sterne, Jonathan AC, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ: British Medical Journal 338 (2009). • McKnight, Patrick E., Katherine M. McKnight, and Aurelio Jose Figueredo. Missing data: A gentle introduction. Guilford Press, 2007. • Haukoos, Jason S., and Craig D. Newgard. Advanced statistics: missing data in clinical research—part 1: an introduction and conceptual framework. Academic Emergency Medicine 14.7 (2007): 662-668. • Newgard, Craig D., and Jason S. Haukoos. Advanced statistics: missing data in clinical research—part 2: multiple imputation. Academic Emergency Medicine 14.7 (2007): 669-678.
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