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Handling missing data in Stata-a whirlwind tour

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  • Jonathan Bartlett

    (London School of Hygiene and Tropical Medicine)

Abstract

Missing data is a pervasive issue in epidemiological, clinical, social, and economic studies. This presentation offers a brief overview of the conceptual issues raised by missing data, followed by an overview of some of the principled statistical methods of handling missing data that are implemented in Stata 12, including multiple imputation and inverse probability weighting.

Suggested Citation

  • Jonathan Bartlett, 2012. "Handling missing data in Stata-a whirlwind tour," Italian Stata Users' Group Meetings 2012 01, Stata Users Group.
    • Handle: RePEc:boc:isug12:01
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    File URL: http://www.stata.com/meeting/italy12/abstracts/materials/it12_bartlett.pdf
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    Cited by:

    1. Ingyu Moon & Junghee Han, 2022. "Moderating Effects of Physical Activity on the Relationship between Adverse Childhood Experiences and Health-Related Quality of Life," IJERPH, MDPI, vol. 19(2), pages 1-18, January.

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