Biostatistics in Real-World Clinical Research: From Big Data to Clinical Decision-Making
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Research Methods".
Deadline for manuscript submissions: 22 December 2026 | Viewed by 81
Special Issue Editors
Interests: epidemiology; real-world data; clinical biostatistics; population-based cohort; respiratory diseases; clinical outcomes research
Interests: biomedical imaging; quantitative imaging analysis; translational respiratory research; experimental disease models; airway biology; multimodal assessment
Special Issue Information
Dear Colleagues,
Biostatistics has long served as the cornerstone of clinical medicine, providing the rigorous framework needed to transform patient data into evidence that directly informs diagnosis, treatment, and care. Today, the field is evolving in direct response to the growing complexity of clinical practice. This evolution is essential for addressing the nuanced questions clinicians face, where static, one-size-fits-all methods often fall short of capturing the dynamic, heterogeneous nature of disease progression and treatment response.
This Special Issue will present recent advances in biostatistics that meaningfully contribute to contemporary clinical research and practice. Against the backdrop of the rapidly expanding availability of real-world data, large-scale cohort studies, and increasingly complex clinical measurements, there is a growing need for robust and innovative statistical approaches to generate reliable evidence and effectively support clinical decision-making. This Special Issue focuses on methodological innovations and applied studies that showcase the effective use of biostatistics in addressing clinically relevant questions. We welcome contributions covering varied topics, including, but not limited to, real-world data analysis, population-based cohort studies, longitudinal and survival modeling, clinical prediction and prognostic models, and the quantitative analysis of imaging or multimodal clinical data.
Dr. Taeyun Kim
Prof. Dr. Chul-Ho Oak
Guest Editors
Manuscript Submission Information
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Keywords
- clinical biostatistics
- epidemiology
- real-world data
- population-based cohort
- survival analysis
- clinical prediction models
- prognostic modeling
- risk stratification
- translational clinical research
- quantitative clinical data analysis
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