Biostatistical methodologies

Nicolaus Steno

Randomizer for Clinical Trials

Available methodologies and techniques:

  • Statistical modelling in twin studies and other studies
    • Analysis of twin data
    • Generalised linear mixed models
    • Mixture models and local mixture models
    • Multivariate distributions
    • Multivariate statistics
  • Analysis of time dependent data
    • Longitudinal data analysis
    • Recurrent events data
    • Survival analysis
  • High dimensional data analysis
    • Mass Spectrometry
    • Non- and semi-parametric methods
    • Regularized models
    • Demension reduction
    • Supervised learning
    • Bootstrap methods
  • Functional data analysis
    • Wavelets
    • Generalised linear mixed models
    • Reproducing Kernel Hilbert spaces
    • Stochastic processes
  • Direct effects and causality

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 refer to the homepages of the individual staff members for more details.

Key researchers:

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