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Biostatistics

Biostatistical method

In addition to the main research areas, our biostatisticians are involved in many research activities at the Faculty of Health Sciences and Odense University Hospital. Please go to the homepages of the individual staff members for more details.

Biostatistical methods and techniques


Statistical modeling in twin studies and other studies 

  • Analysis of twin data 
  • Generalized linear mixed models
  • AI neural network models

Analysis of time dependent data

  • Longitudinal data analysis
  • Recurrent events data
  • Time to event models
  • Survival analysis of twin data  

Analysis of high-dimensional data

  • Non- og semi-parametric methods 
  • Regularized models 
  • Dimension reduction
  • Supervised learning 
  • Statistic interaction

Functional data analysis

  • Functional linear models 
  • Reproducing Kernel Hilbert spaces and Hilbert C*-modules
  • Stochastic processes

Direct impact and causation

Causal analysis

  • Causal inference in matched studies

 


Collaboration and knowledge sharing


The biostatistical team of researchers at EBB collaborate with several national and international partners. 

Teaching and supervision


Editorial board


Nicolaus Steno


EBB - Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark

  • Campusvej 55
  • Odense M - DK-5230
  • Phone: +45 6550 3029

Last Updated 04.12.2024