I do research in biostatistics and pharmacoepidemiology, developing methods that can answer concrete questions in health science. I have studied and worked in Denmark and the United States. It matters to me that statistics is of use to other researchers, and I therefore spend a large part of my time on consultancy, teaching and developing software that others can use. I am Professor of Statistics and Pharmacometrics at the Department of Biomedicine, Aarhus University, and affiliated with Steno Diabetes Center Aarhus.
More than 25 years of research experience in biostatistics, epidemiology and clinical trials. Includes development of new statistical methods for analysing medication use, and methods for detecting and correcting bias in studies based on national health registers. Over the past decade, work on evaluating the effect of national breast cancer screening programmes. In recent years, a further focus on research integrity and methodological quality in published health science research.
In my interdisciplinary work I have contributed to methodological development at the intersection of biostatistics, pharmacoepidemiology and register-based research. I work with researchers at University of Edinburgh on diabetes epidemiology, and with the pharmacoepidemiology group at SDU on prescription durations. I work with UNSW Sydney and Universitá di Firenze on the R package wtdr for waiting time distribution analysis. I teach on the annual PhD epidemiology course in Florence.
Statistical advice to research projects at Steno Diabetes Center Aarhus, from study design and analysis plan through analysis to reporting and publication. I also advise co-authors and colleagues on choice of method, bias and interpretation of results in register-based studies and clinical trials. Through my own consultancy, Stats4All, I have carried out work for pharmaceutical companies, the Danish Health Authority and other research institutions in biostatistics, pharmacoepidemiology and evidence assessment. I am the statistical editor of Palliative Medicine.
