Antonia Zapf

Prof. Dr. Antonia Zapf is a Professor at the Department of Medical Biometry and Epidemiology within the School of Medicine at the University of Hamburg. Her research focuses on advanced statistical methodologies for diagnostic studies, sample size calculation, and meta-analyses in clinical and epidemiological contexts.

Her primary research interests include Statistical Methods for Diagnostic Studies, Sample Size Calculation, and Meta-analysis. She has developed innovative approaches for handling missing data in diagnostic accuracy studies, created seamless designs for diagnostic test evaluation, and contributed to frameworks for diagnostic development during infectious disease outbreaks. Her work bridges biostatistics with practical clinical applications across cardiology, oncology, mental health, and rare diseases.

Prof. Zapf leads multiple major research projects including EpiAdaptDiag (adaptive designs for diagnostic studies), ClusterDiag (evaluation of diagnostic tests with clustered data), and FlexDiag (flexible designs for diagnostic studies). Her publications demonstrate consistent contributions to methodological advancements in clinical epidemiology and biostatistics.

Her research collaborations span multiple clinical domains with significant work in cardiovascular research (EAST-AFNET 4, NOAH-AFNET 6), mental health (COMET Study, i2TransHealth), and rare diseases (CARE-FAM-NET). She serves as principal investigator for numerous DFG-funded projects and international clinical trials.