Literature DB >> 9544520

A strategy for dose-finding and safety monitoring based on efficacy and adverse outcomes in phase I/II clinical trials.

P F Thall1, K E Russell.   

Abstract

We propose a design strategy for single-arm clinical trials in which the goals are to find a dose of an experimental treatment satisfying both safety and efficacy requirements, treat a sufficiently large number of patients to estimate the rates of these events at the selected dose with a given reliability, and stop the trial early if it is likely that no dose is both safe and efficacious. Patient outcome is characterized by a trinary ordinal variable accounting for both efficacy and toxicity. Like Thall, Simon, and Estey (1995, Statistics in Medicine 14, 357-379), we use Bayesian criteria to generate decision rules while relying on frequentist criteria obtained via simulation to determine a design parameterization with good operating characteristics. The strategy is illustrated by application to a bone marrow transplantation trial for hematologic malignancies and a trial of a biologic agent for malignant melanoma.

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Year:  1998        PMID: 9544520

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


  52 in total

Review 1.  Learning from previous responses in phase I dose-escalation studies.

Authors:  J Whitehead; Y Zhou; N Stallard; S Todd; A Whitehead
Journal:  Br J Clin Pharmacol       Date:  2001-07       Impact factor: 4.335

2.  Optimizing Sedative Dose in Preterm Infants Undergoing Treatment for Respiratory Distress Syndrome.

Authors:  Peter F Thall; Hoang Q Nguyen; Sarah Zohar; Pierre Maton
Journal:  J Am Stat Assoc       Date:  2014-09-01       Impact factor: 5.033

3.  Determination of an optimal dosage regimen using a Bayesian decision analysis of efficacy and adverse effect data.

Authors:  Gordon Graham; Suneel Gupta; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2002-02       Impact factor: 2.745

4.  A robust Bayesian dose-finding design for phase I/II clinical trials.

Authors:  Suyu Liu; Valen E Johnson
Journal:  Biostatistics       Date:  2015-10-20       Impact factor: 5.899

5.  A new statistical method for dose-finding based on efficacy and toxicity in early phase clinical trials.

Authors:  P F Thall; E H Estey; H G Sung
Journal:  Invest New Drugs       Date:  1999       Impact factor: 3.850

Review 6.  Modelling and simulation in the development and use of anti-cancer agents: an underused tool?

Authors:  Ferdinand Rombout; Leon Aarons; Mats Karlsson; Anthony Man; France Mentré; Peter Nygren; Amy Racine; Hans Schaefer; Jean-Louis Steimer; Iñaki Troconiz; Achiel van Peer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-12       Impact factor: 2.745

7.  A pragmatic, adaptive clinical trial design for a rare disease: The FOcal Cerebral Arteriopathy Steroid (FOCAS) trial.

Authors:  Yeonhee Park; Heather J Fullerton; Jordan J Elm
Journal:  Contemp Clin Trials       Date:  2019-10-13       Impact factor: 2.226

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

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

Review 9.  Adaptive designs for randomized trials in public health.

Authors:  C Hendricks Brown; Thomas R Ten Have; Booil Jo; Getachew Dagne; Peter A Wyman; Bengt Muthén; Robert D Gibbons
Journal:  Annu Rev Public Health       Date:  2009       Impact factor: 21.981

10.  Dose--schedule finding in phase I/II clinical trials using a Bayesian isotonic transformation.

Authors:  Yisheng Li; B Nebiyou Bekele; Yuan Ji; John D Cook
Journal:  Stat Med       Date:  2008-10-30       Impact factor: 2.373

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