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    Correcting for Self-Reporting Bias in BMI: A Multiple Imputation Approach.

    O'Neill, Donal (2015) Correcting for Self-Reporting Bias in BMI: A Multiple Imputation Approach. Working Paper. National University of Ireland Maynooth. (Unpublished)

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    Measurement error in BMI is known to be a complex process has serious consequences for traditional estimators. In this paper I examine the extent to which Stochastic Multiple Imputation approaches can successfully addressing this problem. Using both Monte Carlo simulations and real world data I show how the MI approach can provide an effective solution to measurement error in BMI in appropriate circumstances. The MI approach yields consistent estimates that efficiently use all the available data. 1 I

    Item Type: Monograph (Working Paper)
    Keywords: Self-Reporting Bias; BMI; Multiple Imputation Approach;
    Academic Unit: Faculty of Social Sciences > Economics, Finance and Accounting
    Item ID: 6492
    Depositing User: Ms Sandra Doherty
    Date Deposited: 22 Oct 2015 10:10
    Publisher: National University of Ireland Maynooth
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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