Our expert line-up of presenters, lecturers and workshop leaders will explore cohort analysis techniques including linear/logistic regression, machine learning, survival analysis, latent growth curve models, and cross-lagged panel models.
The Autumn Academy is aimed at experienced data analysts who are seeking to expand their repertoire of analysis techniques. Participants will be working with cohort data in the DPUK Data Portal to learn new skills and work on real research projects. The Data Portal is a dementia-optimised health research data repository of more than 50 cohorts with over 3.5 million participants.
The DPUK Autumn Academy: Cohort Data Analysis will run this year from 27 September until 1 October. Sessions will take place virtually. Apply here by the deadline of 31 August.
Each day will involve morning presentations and lectures on themed areas of dementia research and specific cohort analysis techniques. Afternoon sessions will allow participants to work on research projects using real-world data from cohorts in the DPUK Data Portal.
Day 1: DPUK and cohort profiles
Prof John Gallacher (DPUK/University of Oxford)
Archie Campbell (Generation Scotland)
Dr Dorina Cadar (ELSA)
Lecturer (linear/logistic regression): Prof John Gallacher (DPUK/University of Oxford)
Day 2: Dementia and Parkinson's disease latest research
Prof James Rowe (University of Cambridge)
Dr Ivan Koychev (University of Oxford)
Prof Michele Hu (University of Oxford)
Lecturer (machine learning): Dr Andrey Kormilitzin (University of Oxford)
Day 3: Global data initiatives
Dr Mukta Phatak (Alzheimer's Disease Data Initiative)
Dr Lee Lancashire (Cohen Veterans Bioscience)
Dr Vibeke Catts (Dementias Platform Australia)
Lecturer (survival analysis/Cox): Dr Magda Bucholc (Ulster University)
Day 4: Ontologies and curation
Dr Melanie Courtot (European Bioinformatics Institute)
Dr Sarah Bauermeister (DPUK/University of Oxford)
Colin Birkenbihl (Fraunhofer Institute)
Lecturer (latent growth curve models): Dr Tom Booth (University of Edinburgh)
Day 5: Exemplar Data Portal projects
Dr Danielle Newby (University of Oxford)
Dr Sarah Bauermeister (University of Oxford)
Prof Valentina Escott-Price (Cardiff University)
Lecturer (cross-lagged panel models): Dr Christoph Jindra (Humboldt University Berlin)
The fee for the course will be £100, with a small number of bursaries available. Fees will not apply to participants based in low or middle-income countries. Payment will be made on acceptance of application.