Prof Graciela Muniz Terrera
Chair of Ageing, Health and Methods
- Centre for Clinical Brain Sciences
- Edinburgh Dementia Prevention
Contact details
- Email: g.muniz@ed.ac.uk
Background
Dr. Muniz Terrera is Professor of Ageing, Health and Methods in the Edinburgh Dementia Prevention research group, where she works in collaboration with colleagues in the EPAD (European Prevention of Alzheimer's Dementia) and the IALSA (Integrative Analysis of Longitudinal Studies of Ageing) network of longitudinal studies of ageing and dementia.
Before working in Edinburgh, she was a Lecturer at UCL and Programme Leader Track at the MRC Lifelong Health and Ageing Unit and also worked for several years in Cambridge at the MRC Biostatistics Unit, where she also did her PhD. Her research has been supported by an MRC Career Development Award in Biostatistics, the Alzheimer's Society and the IALSA Programme Grant from the US National Institute of Health.
She has extensive experience developing and applying longitudinal methods to gain a better understanding of ageing and dementia. She is also interested in harmonisation methods for evidence synthesis and reproducible research.
Qualifications
- PhD in Biostatistics, MRC Biostatistics Unit, University of Cambridge
- Masters in Mathematical Statistics, School of Sciences, Universidad de la Republica del Uruguay
- BA in Mathematcis, School of Sciences, Universidad de la Republica del Uruguay
Research summary
Graciela is interested in the application and development of new analytical methods to improve knowledge about normative and pathological cognitive and physical declines experienced by older adults. She is particularly interested in understanding how individuals change relative to their previous level of functioning (within-person changes) as the manifestations of these changes are those that usually concern older adults. She is also interested in the development of analytical tools to predict the risk of developing dementia.
Research aims & areas of interest
- Longitudinal methods
- Risk prediction models
- Data harmonisation (see www.maelstrom-research.org)
- Analytical methods to facilitate replication and reproducible research (see www.ialsa.org)
- Graciela often runs workshops aimed at early-career researchers who want to learn and apply statistical methods to answer relevant questions about ageing and dementia
Group members
Dr Rebecca Bendayan - statistician
Dr Lucy Stirland - PhD student
Dr Hinesh Topiwala - MD student
Collaborators
- European Prevention of Alzheimer’s Disease Consortium (EPAD)
- Prof. Andrea Piccinin and Prof Scott Hofer, University of Victoria, BC, Canada
- IALSA affiliated researchers
- Dr Ardo Van den Hout, Dept. of Statistics, UCL
- Dr Brian Tom, MRC Biostatistics Unit, Cambridge
- Maelstrom Research Group, McGill University, Montreal, Canada
-
Assessing recovery from delirium: an international survey of healthcare professionals involved in delirium care
In:
Delirium Communications
Research output: Contribution to Journal › Article (Accepted/In press) -
Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences
In:
Science Advances, vol. 8, pp. eabk1942
DOI: https://doi.org/10.1126/sciadv.abk1942
Research output: Contribution to Journal › Review article (Published) -
Modifiable and non-modifiable risk factors of dementia on midlife cerebral small vessel disease in cognitively healthy middle-aged adults: the PREVENT-Dementia study
In:
Alzheimer's research & therapy, vol. 14, pp. 154
DOI: https://doi.org/10.1186/s13195-022-01095-4
Research output: Contribution to Journal › Article (Published) -
Prevalence and predictors of Motoric Cognitive Risk syndrome in a community‐dwelling older Scottish population: A longitudinal observational study
(10 pages)
In:
International Journal of Geriatric Psychiatry, vol. 37
DOI: https://doi.org/10.1002/gps.5824
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Self-reported diabetes is associated with allocentric spatial processing in the European Prevention of Alzheimer's Dementia Longitudinal Cohort Study
In:
European Journal of Neuroscience
DOI: https://doi.org/10.1111/ejn.15821
Research output: Contribution to Journal › Article (E-pub ahead of print)