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Review

Missing Data

In: Secondary Analysis of Electronic Health Records [Internet]. Cham (CH): Springer; 2016. Chapter 13.
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Review

Missing Data

Cátia M. Salgado et al.
Free Books & Documents

Excerpt

In this chapter, the reader will learn about common sources for missing data, how missing data can be classified depending on the origin of missingness, what options are available for handling missing data and how to choose the most appropriate technique for a specific dataset.

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References

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    1. Peugh JL, Enders CK (2004) Missing data in educational research: a review of reporting practices and suggestions for improvement. Rev Educ Res 74(4):525–556
    1. Young W, Weckman G, Holland W (2011) A survey of methodologies for the treatment of missing values within datasets: limitations and benefits. Theor Issues Ergon Sci 12(1):15–43
    1. Alosh M (2009) The impact of missing data in a generalized integer-valued autoregression model for count data. J Biopharm Stat 19(6):1039–1054 - PubMed

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