Literature DB >> 11764240

Dose-finding designs for HIV studies.

J O'Quigley1, M D Hughes, T Fenton.   

Abstract

We present a class of simple designs that can be used in early dose-finding studies in HIV. Such designs, in contrast with Phase I designs in cancer, have a lot of the Phase II flavor about them. Information on efficacy is obtained during the trial and is as important as that relating to toxicity. The designs proposed here sequentially incorporate the information obtained on viral reduction. Initial doses are given from some fixed range of dose regimens. The doses are ordered in terms of their toxic potential. At any dose, a patient can have one of three outcomes: inability to take the treatment (toxicity), ability to take the treatment but insufficient reduction in viral load (viral failure), and ability to take the treatment as well as a sufficient reduction of viral load (success). A clear goal for some class of designs would be the identification of the dose leading to the greatest percentage of successes. Under certain assumptions, which we identify and discuss, we can obtain efficient designs for this task. Under weaker, sometimes more realistic assumptions, we can still obtain designs that have good operating characteristics in identifying a level, if such a level exists, having some given or greater success rate. In the absence of such a level, the designs will come to an early closure, indicating the ineffectiveness of the new treatment.

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Year:  2001        PMID: 11764240     DOI: 10.1111/j.0006-341x.2001.01018.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  38 in total

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3.  Design considerations for dose-expansion cohorts in phase I trials.

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4.  Dynamic calibration of pharmacokinetic parameters in dose-finding studies.

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5.  Innovative Clinical Trial Designs: Toward a 21st-Century Health Care System.

Authors:  Tze L Lai; Philip W Lavori
Journal:  Stat Biosci       Date:  2011-12

6.  Adaptive clinical trial designs in oncology.

Authors:  Yong Zang; J Jack Lee
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7.  Continual Reassessment and Related Dose-Finding Designs.

Authors:  John O'Quigley; Mark Conaway
Journal:  Stat Sci       Date:  2010       Impact factor: 2.901

8.  BAYESIAN PHASE I/II ADAPTIVELY RANDOMIZED ONCOLOGY TRIALS WITH COMBINED DRUGS.

Authors:  Ying Yuan; Guosheng Yin
Journal:  Ann Appl Stat       Date:  2011-01-01       Impact factor: 2.083

9.  Simple benchmark for complex dose finding studies.

Authors:  Ying Kuen Cheung
Journal:  Biometrics       Date:  2014-02-25       Impact factor: 2.571

10.  A new approach to designing phase I-II cancer trials for cytotoxic chemotherapies.

Authors:  Jay Bartroff; Tze Leung Lai; Balasubramanian Narasimhan
Journal:  Stat Med       Date:  2014-02-27       Impact factor: 2.373

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