Literature DB >> 18241082

Adaptive dose finding based on t-statistic for dose-response trials.

Anastasia Ivanova1, James A Bolognese, Inna Perevozskaya.   

Abstract

The goals of phase II dose-response studies are to prove that the treatment is effective and to choose the dose for further development. Randomized designs with equal allocation to either a high dose and placebo or to each of several doses and placebo are typically used. However, in trials where response is observed relatively quickly, adaptive designs might offer an advantage over equal allocation. We propose an adaptive design for dose-response trials that concentrates the allocation of subjects in one or more areas of interest, for example, near a minimum clinically important effect level, or near some maximal effect level, and also allows for the possibility to stop the trial early if needed. The proposed adaptive design yields higher power to detect a dose-response relationship, higher power in comparison with placebo, and selects the correct dose more frequently compared with a corresponding randomized design with equal allocation to doses.

Mesh:

Year:  2008        PMID: 18241082      PMCID: PMC2825484          DOI: 10.1002/sim.3209

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Improved up-and-down designs for phase I trials.

Authors:  Anastasia Ivanova; Aliakbar Montazer-Haghighi; Sri Gopal Mohanty; Stephen D Durham
Journal:  Stat Med       Date:  2003-01-15       Impact factor: 2.373

2.  Combining multiple comparisons and modeling techniques in dose-response studies.

Authors:  F Bretz; J C Pinheiro; M Branson
Journal:  Biometrics       Date:  2005-09       Impact factor: 2.571

3.  Multiple comparisons and multiple contrasts in randomized dose-response trials--confidence interval oriented approaches.

Authors:  Ludwig A Hothorn
Journal:  J Biopharm Stat       Date:  2006       Impact factor: 1.051

  3 in total
  7 in total

1.  Dose finding for continuous and ordinal outcomes with a monotone objective function: a unified approach.

Authors:  Anastasia Ivanova; Se Hee Kim
Journal:  Biometrics       Date:  2008-05-13       Impact factor: 2.571

2.  Statistical Methods for Selecting Maximum Effective Dose and Evaluating Treatment Effect When Dose - Response is Monotonic.

Authors:  Maiying Kong; Shesh N Rai; Roberto Bolli
Journal:  Stat Biopharm Res       Date:  2014-01-02       Impact factor: 1.452

3.  An adaptive design for identifying the dose with the best efficacy/tolerability profile with application to a crossover dose-finding study.

Authors:  Anastasia Ivanova; Ken Liu; Ellen Snyder; Duane Snavely
Journal:  Stat Med       Date:  2009-10-30       Impact factor: 2.373

4.  Two-stage designs for Phase 2 dose-finding trials.

Authors:  Anastasia Ivanova; Changfu Xiao; Yevgen Tymofyeyev
Journal:  Stat Med       Date:  2012-08-01       Impact factor: 2.373

Review 5.  Sample sizes in dosage investigational clinical trials: a systematic evaluation.

Authors:  Ji-Han Huang; Qian-Min Su; Juan Yang; Ying-Hua Lv; Ying-Chun He; Jun-Chao Chen; Ling Xu; Kun Wang; Qing-Shan Zheng
Journal:  Drug Des Devel Ther       Date:  2015-01-07       Impact factor: 4.162

6.  A double-blind randomised controlled investigation into the efficacy of Mirococept (APT070) for preventing ischaemia reperfusion injury in the kidney allograft (EMPIRIKAL): study protocol for a randomised controlled trial.

Authors:  Theodoros Kassimatis; Anass Qasem; Abdel Douiri; Elizabeth G Ryan; Irene Rebollo-Mesa; Laura L Nichols; Roseanna Greenlaw; Jonathon Olsburgh; Richard A Smith; Steven H Sacks; Martin Drage
Journal:  Trials       Date:  2017-06-06       Impact factor: 2.279

7.  Bayesian designs of phase II oncology trials to select maximum effective dose assuming monotonic dose-response relationship.

Authors:  Beibei Guo; Yisheng Li
Journal:  BMC Med Res Methodol       Date:  2014-07-29       Impact factor: 4.615

  7 in total

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