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One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels.

Mark van der Laan, Susan Gruber

    The International Journal of Biostatistics
    |May 27, 2016
    PubMed
    Summary

    This study introduces a novel one-step targeted maximum likelihood estimator (TMLE) using universal least favorable submodels. This method efficiently solves complex statistical estimation problems, even for multivariate parameters, with minimal data fitting.

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