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Missing Data pp 229–251Cite as

Simulations with Missing Data

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Part of the book series: Statistics for Social and Behavioral Sciences ((SSBS))

Abstract

If you have some experience with simulation work, then much of what I say here in the early part of this chapter should be a review. However, even if you do have prior experience with this topic, I believe it will be good to see my take on the more traditional Monte Carlo approach to missing data. Also important is that having a good sense of the traditional Monte Carlo approach to simulations will be a good setup for the non-Monte Carlo simulations I describe toward the end of this chapter.

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References

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Authors and Affiliations

  1. Department of Biobehavioral Health, The Pennsylvania State University, Health & Human Development Bldg. East, University Park, PA, USA

    John W. Graham

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  1. John W. Graham
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© 2012 Springer Science+Business Media New York

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Graham, J.W. (2012). Simulations with Missing Data. In: Missing Data. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4018-5_10

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