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  • Unconditional estimating equation approaches for missing data

    Creator:
    Lu, Lin
    Abstract:
    Missing data can lead to biased and inefficient estimation if the missing mechanism is not taken into account in the analysis. In this dissertation we propose two estimators that, under fairly general conditions, are asymptotically unbiased. The first proposed estimator assume the data are missing at random (MAR) and does...
    Resource Type:
    Dissertation