Research Groups
Milan Wiedemann
DPhil
Researcher / Health Data Scientist
- Mental health
- Electronic health records
- Research software
Milan is interested in evaluating clinical interventions and enjoys developing software tools that make it easy to understand and work with healthcare data.
Before joining the Bennett Institute for Applied Data Science he finished his DPhil in Experimental Psychology at the Oxford Centre for Anxiety Disorders and Trauma. He likes good documentation, consistent variable names, and mountains.
Key publications
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Impact of COVID-19 on recorded blood pressure screening and hypertension management in England: An analysis of monthly changes in the quality and outcomes framework indicators in OpenSAFELY
Journal article
Wiedemann M. et al, (2024), Open Heart, 11
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Changes in cognitive processes and coping strategies precede changes in symptoms during cognitive therapy for posttraumatic stress disorder
Journal article
Wiedemann M. et al, (2023), Behaviour Research and Therapy, 169, 104407 - 104407
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Cognitive Processes Associated With Sudden Gains in Cognitive Therapy for Posttraumatic Stress Disorder in Routine Care
Journal article
Wiedemann M. et al, (2020), Journal of Consulting and Clinical Psychology
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lcsm: An R package and tutorial on latent change score modelling
Journal article
Wiedemann M. et al, (2021)
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Suddengains: An R package to identify sudden gains in longitudinal data
Journal article
Wiedemann M. et al, (2020), PLoS ONE, 15