Brice Maxime Hugues Ozenne
Assistant Professor
Section of Biostatistics
Postboks 2099, Øster Farimagsgade 5 opg. B, 1014 København K, 15 Øster Farimagsgade 5, Building: 15-2-15
My current research topics are the development of Latent Variable Models for complex
data and predictive models in presence of competing risks. I am applying these methods
on neuroscience data to investigate the relationship between the brain response and
depression and in cardiovascular diseases to predict the risk of cardiovascular events.
I am also statistical consultant at the Neurobiology Research Unit of Rigshospitalet.
Teaching
Structural Equation Models.
(http://publicifsv.sund.ku.dk/~kkho/undervisning/sem2016/)
Practical classes of Statistical analysis of correlated and repeated measurements.
Ph.D course for health researchers
(ku.dk/~jufo/RepeatedMeasuresE2015.html)
ID: 144764824
Most downloads
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404
downloads
riskRegression: Predicting the risk of an event using Cox regression models
Research output: Contribution to journal › Journal article › peer-review
Published -
273
downloads
Safety and EEG data quality of concurrent high-density EEG and high-speed fMRI at 3 Tesla
Research output: Contribution to journal › Journal article › peer-review
Published -
193
downloads
Predicting Treatment Outcome in Major Depressive Disorder Using Serotonin 4 Receptor PET Brain Imaging, Functional MRI, Cognitive-, EEG-Based, and Peripheral Biomarkers: A NeuroPharm Open Label Clinical Trial Protocol
Research output: Contribution to journal › Journal article › peer-review
Published