Posted on Saturday, January 21, 2023
The New England Journal of Statistics in Data Science (NEJSDS)
invites submissions to a special issue of “Dose Finding and Related Topics in Drug Development”.
This special issue focuses on topics about recent developments in statistical
methods and novel applications or case studies in dose-finding and related
topics in drug development.
Manuscripts for this special Issue should be submitted by June 1, 2024 via the
journal online submission portal
https://www.e-publications.org/ness/sbs/.
Please state that your submissions are “For the Special Issue on Dose Finding
and Related Topics” in the Box of Comments to the editors. The submissions will
go through a regular review process. As the guest editors for this special
issue, we will handle the peer review timely and carefully.
The tentative topics include (but are not limited to):
- Adaptive and seamless designs for early phase oncology trials
- Basket and platform trial designs in dose-finding
- Pharmacokinetic-pharmacodynamic approaches in dose-finding and dose-response
studies
- Dose finding with delayed toxicity and efficacy outcomes
- Sample size and dose spacing determination for dose-response studies
- Novel statistical procedures in dose-response study designs
- Historical and external information in dose-finding
- New development of Emax or related models in analysis of dose-response
- Applications of machine learning methods in dose-finding
NEJSDS is proud to be a pioneer in the reform of the traditional peer review
process by implementing a new hybrid journal review process. In this new review
process, authors have the option to supply referee reports invited by the
authors, as a supplement to the traditional review reports led by the editorial
board. The decisions will take into consideration both review reports initiated
by the authors and the reports initiated by the editorial board. If any authors
choose to provide open reviews for their articles, please mention it in the
cover letter and upload the review reports (including the information of
reviewers’ affiliations and email addresses) as supplementary materials when
submitting the article.
If you have any questions or have a pre-submission inquiry, please feel free to
contact us.
We look forward to receiving your papers in due course.
Guest Editors:
- Tianjian Zhou, Colorado State University, email: tianjian.zhou@colostate.edu
- Yiming Zhang, U.S. Food and Drug Administration, email: yiming.zhang@fda.hhs.gov
- Helen Li, Statistics and Data Corporation, email: qianhelenli@gmail.com
