Research

Our group works extensively with time to event data arising at various stages of life. We specialize in handling heterogeneous data possibly arising from different sources and under varying observation schemes. We also study populations from various countries. Our expertise is in going beyond the obvious from the data. Most of the doctoral researchers of the group are employed full-time at the various organisations in Finland and their research is supported by their employers. Our research thrives on the challenges of real-world applications related to their works.
Theory and applications

The methods are developed for wide range of applications, such as, assessment of cancer screening programs; evidence-based medicine; adverse outcomes related to vaccines and register-based studies; life course events and life histories; pregnancy related outcomes; treatment outcomes and factors affecting outcomes of patients with wet age-related macular degeneration (wet-AMD) of eye.

Other areas of research

We also work in statistics and information theory with applications in reliability, and telecommunication and traffic networks. We have initiated discussion on survival analysis approach for credit risks with Mathematics risk management group. We are assessing degree completion process using survival analysis techniques and collaborate with Robust statistics and time series analysis group.

Collaboration

We actively collaborate nationally and internationally with other universities and organisations. Our current national collaborators include: 

  • University of Vaasa: Dario Gasbarra, professor (also Docent at University of Helsinki)
  • Finnish Institute for Health and Welfare (THL): Simopekka Vänsä, Maarit Leinonen, Tommi Härkänen and other researchers
  • Finnish Cancer Registry (FCR)
  • University of Turku: Kari Auranen, professor
  • Tampere University
  • VTT
  • Department of Ophthalmology, Helsinki University Hospital (HUS)
  • Finnish Food Authority
  • Population Research Institute, Finland
  • Centre for Social Data Science, University of Helsinki
  • Other departments of the University of Helsinki
  • Aalto University
Communicating with statistics

Communication of findings to scientific community as well as general public is very crucial in our work. We put emphasise on this aspect.