Journal of Probability and Statistics

Adaptive and Sequential Methods for Clinical Trials


Publishing date
19 Oct 2012
Status
Published
Submission deadline
01 Jun 2012

Lead Editor

1Department of Mathematics & Statistics, Georgia State University, Atlanta, GA 30303, USA

2Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA

3Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

4Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA


Adaptive and Sequential Methods for Clinical Trials

Description

The clinical trial, a prospective study to evaluate the effect of interventions in humans under prespecified conditions, is a standard and integral part of modern medicine. Many adaptive and sequential approaches have been proposed for use in clinical trials to allow adaptations or modifications to aspects of a trial after its initiation without undermining the validity and integrity of the trial. The application of adaptive and sequential methods in clinical trials has significantly improved the flexibility, efficiency, therapeutic effect, and validity of trials.

To further advance the performance of clinical trials and convey the progress of research on adaptive and sequential methods in clinical trial design, we invite authors to submit original research and review articles that focus on adaptive and sequential methods in the design of clinical trials. We are especially interested in articles that explore novel adaptive and sequential approaches and their applications in clinical trials. Potential topics include, but are not limited to:

  • Bayesian and frequentist adaptive designs of clinical trials
  • Bayesian adaptive dose-finding approaches
  • Group sequential designs in clinical trials
  • Biomarker adaptive designs in clinical trials
  • Sample size adjustable designs in clinical trials
  • Bayesian adaptive methods for monitoring clinical trials
  • Adaptive randomization in clinical trials
  • Approaches supporting personalized medicine in trials, including identifying the patient-specific maximum tolerated dose

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/jps/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 386058
  • - Editorial

Adaptive and Sequential Methods for Clinical Trials

Yichuan Zhao | Zhengjia Chen | ... | Mourad Tighiouart
  • Special Issue
  • - Volume 2013
  • - Article ID 603297
  • - Research Article

Exact Group Sequential Methods for Estimating a Binomial Proportion

Zhengjia Chen | Xinjia Chen
  • Special Issue
  • - Volume 2012
  • - Article ID 527351
  • - Review Article

Methodology and Application of Adaptive and Sequential Approaches in Contemporary Clinical Trials

Zhengjia Chen | Yichuan Zhao | ... | Jeanne Kowalski
  • Special Issue
  • - Volume 2012
  • - Article ID 317634
  • - Research Article

Escalation with Overdose Control Using Ordinal Toxicity Grades for Cancer Phase I Clinical Trials

Mourad Tighiouart | Galen Cook-Wiens | André Rogatko
  • Special Issue
  • - Volume 2012
  • - Article ID 692725
  • - Research Article

Number of Patients per Cohort and Sample Size Considerations Using Dose Escalation with Overdose Control

Mourad Tighiouart | André Rogatko
  • Special Issue
  • - Volume 2012
  • - Article ID 436239
  • - Research Article

Two-Stage Adaptive Optimal Design with Fixed First-Stage Sample Size

Adam Lane | Nancy Flournoy
  • Special Issue
  • - Volume 2012
  • - Article ID 567819
  • - Research Article

Incorporating a Patient Dichotomous Characteristic in Cancer Phase I Clinical Trials Using Escalation with Overdose Control

Mourad Tighiouart | Galen Cook-Wiens | André Rogatko
Journal of Probability and Statistics
 Journal metrics
Acceptance rate7%
Submission to final decision43 days
Acceptance to publication110 days
CiteScore0.560
Impact Factor-
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