Literature DB >> 18027217

Recent developments in adaptive designs for Phase I/II dose-finding studies.

Sarah Zohar1, Sylvie Chevret.   

Abstract

Cancer dose-finding trials aim at assessing the maximum tolerated dose (MTD) of a new treatment or combination. Owing to ethical constraint, they are based on adaptive designs, sequentially allocating patients to increased doses on the basis of previous responses. More recently, the concept of MTD has been extended to the largest concept of most successful or most desirable dose, based on efficacy criterion under toxicity restrictions. The aim of this paper is to present three main approaches proposed to estimate such a dose, in the setting of Phase I/II trials. Two case-studies allow to illustrate these new approaches.

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Year:  2007        PMID: 18027217     DOI: 10.1080/10543400701645116

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  15 in total

1.  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

2.  Bayesian adaptive designs in single ascending dose trials in healthy volunteers.

Authors:  David Guédé; Bruno Reigner; Francois Vandenhende; Mike Derks; Ulrich Beyer; Paul Jordan; Eric Worth; Cheikh Diack; Nicolas Frey; Richard Peck
Journal:  Br J Clin Pharmacol       Date:  2014-08       Impact factor: 4.335

3.  Optimizing natural killer cell doses for heterogeneous cancer patients on the basis of multiple event times.

Authors:  Juhee Lee; Peter F Thall; Katy Rezvani
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2018-03-15       Impact factor: 1.864

4.  Drug designs fulfilling the requirements of clinical trials aiming at personalizing medicine.

Authors:  Sumithra J Mandrekar; Daniel J Sargent
Journal:  Chin Clin Oncol       Date:  2014-06-01

Review 5.  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

6.  Current issues in oncology drug development, with a focus on Phase II trials.

Authors:  Daniel J Sargent; Jeremy M G Taylor
Journal:  J Biopharm Stat       Date:  2009       Impact factor: 1.051

7.  Effective sample size for computing prior hyperparameters in Bayesian phase I-II dose-finding.

Authors:  Peter F Thall; Richard C Herrick; Hoang Q Nguyen; John J Venier; J Clift Norris
Journal:  Clin Trials       Date:  2014-09-01       Impact factor: 2.486

8.  Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity.

Authors:  Juhee Lee; Peter F Thall; Yuan Ji; Peter Müller
Journal:  J Am Stat Assoc       Date:  2015-06-01       Impact factor: 5.033

9.  Personalized dose selection in radiation therapy using statistical models for toxicity and efficacy with dose and biomarkers as covariates.

Authors:  Matthew J Schipper; Jeremy M G Taylor; Randy TenHaken; Martha M Matuzak; Feng-Ming Kong; Theodore S Lawrence
Journal:  Stat Med       Date:  2014-08-27       Impact factor: 2.373

10.  Utility-based optimization of combination therapy using ordinal toxicity and efficacy in phase I/II trials.

Authors:  Nadine Houede; Peter F Thall; Hoang Nguyen; Xavier Paoletti; Andrew Kramar
Journal:  Biometrics       Date:  2009-08-10       Impact factor: 2.571

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