A dose-finding approach based on shrunken predictive probability for combinations of two agents in phase I trials-Reference-Cited by-同舟云学术

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A dose-finding approach based on shrunken predictive probability for combinations of two agents in phase I trials

Published:2013-05-06 Issue:26 Volume:32 Page:4515-4525
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Hirakawa Akihiro¹,Hamada Chikuma²,Matsui Shigeyuki³

Affiliation:

1. Center for Advanced Medicine and Clinical Research; Nagoya University Graduate School of Medicine; Aichi 466-8560 Japan

2. Department of Management Science, Graduate School of Engineering; Tokyo University of Science; Tokyo 162-8601 Japan

3. Department of Data Science; The Institute of Statistical Mathematics; Tokyo 190-8562 Japan

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5843/fullpdf

Reference16 articles.

1. Continual reassessment method: a practical design for phase I clinical trials in cancer;O'Quigley;Biometrics,1990

2. Statistical Methods for Dose-Finding Experiments

3. Dose Finding in Drug Development

4. Dose finding with two agents in phase I oncology trials;Thall;Biometrics,2003

5. Designs for single- or multiple-agent phase I trials;Conaway;Biometrics,2004

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1. Data-dependent early completion of dose-finding trials for drug-combination;Statistical Methods in Medical Research;2023-02-12

2. Evaluation of phase I clinical trial designs for combinational agents along with guidance based on simulation studies;Journal of Applied Statistics;2022-08-03

3. Accuracy and Safety of Novel Designs for Phase I Drug-Combination Oncology Trials;Statistics in Biopharmaceutical Research;2022-07-03

4. How to design a dose-finding study on combined agents: Choice of design and development of R functions;PLOS ONE;2019-11-11

5. CRM2DIM: A SAS macro for implementing the dual-agent Bayesian continual reassessment method;Computer Methods and Programs in Biomedicine;2019-07

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