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.

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Biostatistical methods and techniques

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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

 

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Collaboration and knowledge sharing

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

• NorTwinCan : Nordic Twin Study of Cancer

• DTR : Danish Twin Research Center

• Twin Study at University of Helsinki

• L'Instituto Superiore di Sanitá
  National Institute of Health, Italy

• Danish Statistical Society : DSTS

• Section of Biostatistics, University of Copenhagen, Aarhus and Aalborg

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Teaching and supervision

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• Biostatistics I & II

• Advanced Biostatistics (Bootcamp)

• Analysis of Twin Data in Health Sciences

• Artificial Intelligence Learners in Health Science

• Survival Analysis

• Mixed Models in Health Science

• Biostatistical Consultancy Service

Editorial board

• Scandinavian Journal of Statistics : Theory and Applications

  Professor Jacob Hjemborg, member of the board

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