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Assaf P. Oron

  1. Small-Sample Behavior of Novel Phase I Cancer Trial Designs.

    Чт, 02/23/2012 - 15:01 — SomNambul
    Authors: Assaf P. Oron, Peter D. Hoff
    Subjects: Methodology
    Abstract

    Novel dose-finding designs, using estimation to assign the best estimated
    maximum- tolerated-dose (MTD) at each point in the experiment, most commonly
    via Bayesian techniques, have recently entered large-scale implementation in
    Phase I cancer clinical trials. We examine the small-sample behavior of these
    "Bayesian Phase I" (BP1) designs, and also of non-Bayesian designs sharing the
    same main "long-memory" traits (hereafter: LMP1s).

  2. Convergence of Nonparametric Long-Memory Phase I Designs.

    Ср, 08/19/2009 - 19:30 — SomNambul
    Authors: Assaf P. Oron, Peter D. Hoff
    Subjects: Methodology
    Abstract

    We examine Phase I cancer clinical trial designs that use toxicity estimates
    based on all available data at each dose-allocation decision, but refrain from
    employing parametric models or Bayesian decision rules. We show that one such
    design family, called here "interval designs", converges almost surely to the
    maximum tolerated dose under fairly general conditions. Another family called
    "point designs" does not converge.

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