This special Issue focuses on recent developments in statistical methods concerning survival and related time-to-event data in modern biomedical research.

Manuscripts for this special Issue should be submitted by December 31, 2026 via the journal’s online submission portal https://www.e-publications.org/ness/sbs/. Please state that your submissions are "For the Special Issue on Advanced Statistical Approaches for Survival and Related Time-to-Event Data" 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 of the manuscripts in a timely manner and adhere to high scientific standards.

The topics of this special Issue include but are not limited to:

• Deep Learning / Neural Network-based Survival Models
• Multimodal and Multi-omics Survival Analysis
• Privacy-preserving and Federated Survival Analysis
• Causal Survival Analysis
• Conformal Prediction for Survival Data
• Novel Clinical Trial Designs with Survival or Related Endpoints
• Win Ratio, Desirability of Outcome Ranking (DOOR), Generalized Pairwise Comparisons (GPC) Methodologies for Complex Outcomes
• Non-Proportional Hazards Models with Time-Varying Covariate Effects

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 would like to make a pre-submission inquiry, please feel free to contact us.

We look forward to receiving your papers in due course.

Guest Editors:

• Colin Wu, National Heart, Lung, and Blood Institute, NIH, email: wuc@nhlbi.nih.gov
• Guoqing Diao, George Washington University, email: gdiao@gwu.edu
• Eric Leifer, National Heart, Lung, and Blood Institute, NIH, email: leifere@nhlbi.nih.gov