Medical Statistics and Data Analytics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 99
Special Issue Editors
Interests: survival analysis; competing risks; meta-analysis; clinical trials
Special Issue Information
Dear Colleagues,
Meta-analysis of survival data has become an indispensable tool in evidence synthesis, especially in medical and clinical research where time-to-event outcomes—such as progression-free survival, overall survival, or time to relapse—are common. Compared to standard meta-analytic settings, survival data present unique challenges due to censoring, varying follow-up times, and the nature of hazard-based outcomes. This Special Issue aims to bring together recent methodological advances and applications in the meta-analysis of survival data to contribute to both theoretical developments and practical implementations in the field.
The scope of this Special Issue covers a wide range of topics, including but not limited to the combination of hazard ratios from individual studies, reconstruction and use of individual participant data (IPD) when only aggregate data are available, network meta-analysis for survival outcomes, methods for dealing with contexts where proportional hazards assumptions are violated, and other emerging approaches. We also welcome papers exploring challenges in reporting and interpreting results from survival meta-analyses, especially when key information is missing or inconsistently reported. Contributions addressing practical issues in software implementation, reproducibility, and real-world case studies are strongly encouraged.
This Special Issue is expected to be of interest to statisticians, epidemiologists, health data scientists, and clinicians involved in evidence synthesis and guideline development. It will provide a timely overview of current methods and stimulate future research in the meta-analytical treatment of time-to-event outcomes.
Dr. Fotios Siannis
Dr. Emmanouil Androulakis
Guest Editors
Manuscript Submission Information
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Keywords
- medical statistics
- meta-analysis
- survival analysis
- statistical modeling
- time-to-event data
- survival data
- hazard functions
- individual participant data (IPD)
- aggregate data
- evidence synthesis
- heterogeneity
- network meta-analysis
- proportional hazards models
- biomedical data analytics
- evidence-based medicine
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