Literature DB >> 9421870

Optimal three-stage designs for phase II cancer clinical trials.

T T Chen1.   

Abstract

The objective of a phase II cancer clinical trial is to screen a treatment that can produce a similar or better response rate compared to the current treatment results. This screening is usually carried out in two stages as proposed by Simon. For ineffective treatment, the trial should terminate at the first stage. Ensign et al. extended two-stage optimal designs to three stages; however, they restricted the rejection region in the first stage to be zero response, and the sample size to at least 5. This paper extends Simon's two-stage to a three-stage design without these restrictions, and provides tables for both optimal and minimax designs. One can use the three-stage design to reduce the expected sample size when the treatment is not promising a priori and when the accrual rate is slow. The average reduction in size from a two-stage to three-stage design is 10 per cent.

Entities:  

Mesh:

Year:  1997        PMID: 9421870     DOI: 10.1002/(sici)1097-0258(19971215)16:23<2701::aid-sim704>3.0.co;2-1

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


  31 in total

1.  An adaptive design for phase II non-oncology dose selection clinical trials.

Authors:  Zheng Su
Journal:  Clin Drug Investig       Date:  2010       Impact factor: 2.859

2.  A predictive probability design for phase II cancer clinical trials.

Authors:  J Jack Lee; Diane D Liu
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

3.  Influence of the Size of Cohorts in Adaptive Design for Nonlinear Mixed Effects Models: An Evaluation by Simulation for a Pharmacokinetic and Pharmacodynamic Model for a Biomarker in Oncology.

Authors:  Giulia Lestini; Cyrielle Dumont; France Mentré
Journal:  Pharm Res       Date:  2015-06-30       Impact factor: 4.200

4.  Improved two-stage tests for stratified phase II cancer clinical trials.

Authors:  Myron N Chang; Jonathan J Shuster; Wei Hou
Journal:  Stat Med       Date:  2012-03-16       Impact factor: 2.373

5.  TOP: Time-to-Event Bayesian Optimal Phase II Trial Design for Cancer Immunotherapy.

Authors:  Ruitao Lin; Robert L Coleman; Ying Yuan
Journal:  J Natl Cancer Inst       Date:  2020-01-01       Impact factor: 13.506

6.  Bayesian sequential monitoring design for two-arm randomized clinical trials with noncompliance.

Authors:  Weining Shen; Jing Ning; Ying Yuan
Journal:  Stat Med       Date:  2015-03-10       Impact factor: 2.373

7.  Extended two-stage adaptive designs with three target responses for phase II clinical trials.

Authors:  Seongho Kim; Weng Kee Wong
Journal:  Stat Methods Med Res       Date:  2017-05-23       Impact factor: 3.021

8.  Bicalutamide 50 mg monotherapy in patients with isolated high-grade PIN: findings in repeat biopsies at 6 months.

Authors:  Aldo V Bono; Roberta Mazzucchelli; Ilaria Ferrari; Antonio Lopez-Beltran; Andrea B Galosi; Liang Cheng; Rodolfo Montironi
Journal:  J Clin Pathol       Date:  2006-07-05       Impact factor: 3.411

9.  Advances in Statistical Approaches Oncology Drug Development.

Authors:  Anastasia Ivanova; Gary L Rosner; Olga Marchenko; Tom Parke; Inna Perevozskaya; Yanping Wang
Journal:  Ther Innov Regul Sci       Date:  2014-01       Impact factor: 1.778

10.  A Bayesian design for phase II clinical trials with delayed responses based on multiple imputation.

Authors:  Chunyan Cai; Suyu Liu; Ying Yuan
Journal:  Stat Med       Date:  2014-05-12       Impact factor: 2.373

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.