Inference in targeted goup sequential covariate-adjusted randomized clinical trials

Abstract : This article is devoted to the construction and asymptotic study of adaptive group sequential covariate-adjusted randomized clinical trials analyzed through the prism of the semiparametric methodology of targeted maximum likelihood estimation (TMLE). We show how to build, as the data accrue group-sequentially, a sampling design which targets a user-supplied optimal design. We also show how to carry out a sound TMLE statistical inference based on such an adaptive sampling scheme (therefore extending some results known in the i.i.d setting only so far), and how group-sequential testing applies on top of it. The procedure is robust (i.e., consistent even if the working model is misspecifi ed). A simulation study con firms the theoretical results, and validates the conjecture that the procedure may also be efficient.
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Scandinavian Journal of Statistics, Wiley, 2013, 41 (1), pp.104--140
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Antoine Chambaz, Mark Van Der Laan. Inference in targeted goup sequential covariate-adjusted randomized clinical trials. Scandinavian Journal of Statistics, Wiley, 2013, 41 (1), pp.104--140. <hal-00582753>

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