Oke Gerke

Oke Gerke is a Professor in Clinical Biostatistics in Diagnostic Research at the Department of Clinical Research, University of Southern Denmark, and a Biostatistician at the Department of Nuclear Medicine, Odense University Hospital. He is affiliated with the Research Unit of Clinical Physiology and Nuclear Medicine in Odense and holds a DMSc from the Faculty of Health Sciences at SDU.

• MSc in Mathematics and Economics, University of Hamburg (1998)
• PhD in Statistics and Econometrics, University of Hamburg (2001)
• DMSc, Faculty of Health Sciences, University of Southern Denmark (2024)
• Lecturer Training Programme, University of Southern Denmark (2010)

His research centers on the methodological foundations of diagnostic and prognostic trials in molecular imaging. He specializes in adaptive and sequential trial designs, Bland-Altman agreement analysis, ROC curve methodology, and network meta-analysis of diagnostic accuracy studies. His work bridges biostatistics, clinical epidemiology, and nuclear medicine, with applications in oncology, cardiology, and public health. He has contributed extensively to improving reporting standards in diagnostic research and statistical methodology in clinical trials.

The recent articles highlight a strong trend toward methodological innovation in diagnostic research, with a focus on adaptive and seamless trial designs, real-time evaluation frameworks during outbreaks, and advanced statistical techniques for agreement and cutpoint analysis. His clinical work integrates nuclear imaging modalities like PET/CT in cancer and cardiovascular disease, supported by rigorous meta-analytic and biostatistical approaches.

He is a member of the following scientific societies:

• International Biometric Society (IBS)
• International Society for Clinical Biostatistics (ISCB)
• Danish Society for Theoretical Statistics (DSTS)

Oke Gerke has supervised 1 PhD as main supervisor and 22 as co-supervisor, with 10 completed master’s theses under his main supervision and 4 ongoing PhD projects as co-supervisor. He has been involved in research projects such as the Neurobiological effects of work-related adjustment disorder, contributing to both statistical design and analysis. While no specific grants are listed, his extensive publication record and collaborative research indicate active grant-supported work. He frequently participates in workshops, seminars, and conferences, delivering guest lectures on topics such as network meta-analysis and diagnostic test evaluation.

He is actively involved in academic and clinical research teams at SDU and OUH, particularly within the Research Unit of Clinical Physiology and Nuclear Medicine. His collaborative network spans multiple disciplines, including cardiology, oncology, and psychiatric research, reflecting a multidisciplinary approach to clinical biostatistics.