By Nancy L. Geller

ISBN-10: 0824790324

ISBN-13: 9780824790325

From elements of early trials to advanced modeling difficulties, this beneficial reference summarizes present technique utilized in the layout and research of medical trials. Chapters are contributed by way of across the world respected methodologists skilled in medical trials perform.

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The stopping rule was assessed by simulation. 40. We concluded that the likelihood of stopping was satisfactory to protect patient safety for 100 day TRM. It is important to undertake simulations to evaluate the repeated sampling behavior of planned stopping rules in order to feel comfortable about their performance. S+ programs for Bayesian stopping rules and their assessment are available from the authors. 4. A PHASE II TRIAL DESIGN WITH AN INTERMEDIATE ENDPOINT AND BAYESIAN STOPPING RULES FOR EARLY FAILURE Several phase I/II PBSC transplantation clinical trials were designed for different diseases using the paradigm above.

Thus, subsequent to the first cohort of patients, the dose selected for each patient corresponds to the dose having minimal posterior expected loss with respect to Lðx; NÞ ¼ 8 < aðg À xÞ if x V g ði:e:; if x is an underdoseÞ : ð1 À aÞðx À gÞ if x > c ði:e:; if x is an overdoseÞ: The use of this loss function implies that for any y > 0 the loss incurred by treating a patient at y units above the MTD is (1 À a)/a times greater than the loss associated with treating the patient at y units below the MTD.

5 (see, for example, Babb and Rogatko, 2001). Consequently, we conclude this section with an example illustrating the specification of the prior distribution in the PNU trial. Alternative formulations are given in Mick et al. (1994) and Piantadosi and Liu (1996). Example: PNU Trial (continued) Preliminary studies with PNU indicated that dose levels should be adjusted for baseline pretreatment concentrations of circulating anti-SEA antibodies. 1 of the patients with baseline anti-SEA equal to c, as assessed 3 days prior to the onset of treatment.

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Advances in Clinical Trial Biostatistics by Nancy L. Geller


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