Literature DB >> 19731265

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

Anastasia Ivanova1, Ken Liu, Ellen Snyder, Duane Snavely.   

Abstract

Proof-of-concept in clinical trials has traditionally focused on the identification of a maximum tolerated dose with the assumption that the higher doses provide better efficacy. However, adverse events associated with a maximum tolerated dose may have a negative effect on efficacy. We present an efficient adaptive dose-finding strategy that concentrates patient assignments at and around the dose which has the best efficacy/tolerability profile based on a utility function. The strategy is applied within the setting of a crossover design. While the strategy may also be applied to parallel studies, a crossover design provides more power for a given sample size for comparisons between the optimal dose versus placebo and/or active control when it is reasonable to assume no carryover effects.

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Year:  2009        PMID: 19731265      PMCID: PMC2772210          DOI: 10.1002/sim.3684

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


  10 in total

1.  Dose finding using the biased coin up-and-down design and isotonic regression.

Authors:  Mario Stylianou; Nancy Flournoy
Journal:  Biometrics       Date:  2002-03       Impact factor: 2.571

2.  Dose-finding designs for HIV studies.

Authors:  J O'Quigley; M D Hughes; T Fenton
Journal:  Biometrics       Date:  2001-12       Impact factor: 2.571

3.  An improved method of evaluating drug effect in a multiple dose clinical trial.

Authors:  L Shen
Journal:  Stat Med       Date:  2001-07-15       Impact factor: 2.373

4.  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

5.  A new dose-finding design for bivariate outcomes.

Authors:  Anastasia Ivanova
Journal:  Biometrics       Date:  2003-12       Impact factor: 2.571

6.  How first-time-in-human studies are being performed: a survey of phase I dose-escalation trials in healthy volunteers published between 1995 and 2004.

Authors:  Camilla Buoen; Ole J Bjerrum; Mikael S Thomsen
Journal:  J Clin Pharmacol       Date:  2005-10       Impact factor: 3.126

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

Authors:  Anastasia Ivanova; James A Bolognese; Inna Perevozskaya
Journal:  Stat Med       Date:  2008-05-10       Impact factor: 2.373

8.  Dose-finding based on efficacy-toxicity trade-offs.

Authors:  Peter F Thall; John D Cook
Journal:  Biometrics       Date:  2004-09       Impact factor: 2.571

9.  Adaptive decision making in a lymphocyte infusion trial.

Authors:  Peter F Thall; Lurdes Y T Inoue; Thomas G Martin
Journal:  Biometrics       Date:  2002-09       Impact factor: 2.571

10.  An adaptive first in man dose-escalation study of NGX267: statistical, clinical, and operational considerations.

Authors:  Anastasia Ivanova; Michael Murphy
Journal:  J Biopharm Stat       Date:  2009       Impact factor: 1.051

  10 in total
  7 in total

1.  AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual-agent dose finding trials.

Authors:  Jiaying Lyu; Yuan Ji; Naiqing Zhao; Daniel V T Catenacci
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2018-06-13       Impact factor: 1.864

2.  Dose finding when the target dose is on a plateau of a dose-response curve: comparison of fully sequential designs.

Authors:  Anastasia Ivanova; Changfu Xiao
Journal:  Pharm Stat       Date:  2013-07-26       Impact factor: 1.894

3.  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

4.  TEAMS: Toxicity- and Efficacy-based Dose Insertion Design with Adaptive Model Selection for Phase I/II Dose-Escalation Trials in Oncology.

Authors:  Wentian Guo; Yang Ni; Yuan Ji
Journal:  Stat Biosci       Date:  2015-06-30

5.  Futility stopping in clinical trials, optimality and practical considerations.

Authors:  Yen Chang; Tianhao Song; Jane Monaco; Anastasia Ivanova
Journal:  J Biopharm Stat       Date:  2020-09-14       Impact factor: 1.051

6.  2D (2 Dimensional) TEQR design for Determining the optimal Dose for safety and efficacy.

Authors:  Revathi Ananthakrishnan; Stephanie Green; Daniel Li; Michael LaValley
Journal:  Contemp Clin Trials Commun       Date:  2019-10-12

7.  Beyond exposure-response: A tutorial on statistical considerations in dose-ranging studies.

Authors:  Glen Laird; Lei Xu; Meng Liu; Jin Liu
Journal:  Clin Transl Sci       Date:  2021-05-01       Impact factor: 4.689

  7 in total

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