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Dr Graciela Muniz-Terrera

Dr Graciela Muniz-Terrera is a Programme Leader Track at the MRC Unit for Lifelong Health and Ageing at UCL. Graciela has a BA and Masters in Mathematics and Statistics from Universidad de la Republica del Uruguay and a PhD from the University of Cambridge.

Graciela’s thesis focused on the investigation of the heterogeneity of individual trajectories of cognitive trajectories in the presence of missing data. After completing her PhD at the MRC Biostatistics Unit in Cambridge, Graciela was awarded a Career Development Award in Biostatistics to continue her work on trajectories of cognitive decline.

She then worked on the Falcon project developing statistical techniques for the estimation of life course trajectories combining data from longitudinal studies that followed up individuals in different stages of life. She is now leading research funded by the Alzheimer’s Society synthesizing evidence of the effect of education on trajectories of cognitive decline.

Graciela has developed successful collaborations with international leaders in ageing research and is an active member of the IALSA network of longitudinal studies of ageing.

Graciela joined the Unit for Lifelong Health and Ageing in January 2012 to work with Rebecca Hardy on the functional and cardiovascular ageing programme. She is interested in statistical techniques for the analysis of life course biological and cognitive changes.

Selected Publications

Muniz G, Piccinin A, Hofer S, Johansson B, Matthews F. Investigation of the association between change in memory scores and death. GeroPsych: The Journal of Gerontopsychology and Geriatric Psychiatry 2012; 25(1).

Muniz G, van den Hout A , Matthews F. Random change point models: investigating cognitive decline in the presence of missing data. Journal of Applied Statistics 2011; 38 (4) 705-716.

van den Hout A, Muniz G, Matthews F. Smooth random change point models. Statistics in Medicine 2011;30(6): 599-610.

Terrera GM, Brayne C, Matthews F. CC75C Study Collaboration Group.One size fits all? Why we need more sophisticated analytical methods in the explanation of trajectories of cognition in older age and their potential risk factors. Int Psychogeriatr. 2010 Mar;22(2):291-9. Epub 2009 Nov 12.

Muniz G, Matthews F, Stephan B. Brayne C. Are terminal decline and its potential indicators detectable in population studies of the oldest old? International Journal of Geriatric Psychiatry 2011 Jun;26(6):584-92.

Piccinin A, Muniz G, Sparks C, Bontempo D, Hofer S. An Evaluation of analytical approaches for understanding change in cognition in the context of aging and health. Journal of Gerontology Psyc. Sciences. 66(B): i36-i49, (2011)

Robitaille A, Muniz G, Piccinin AM, Johansson B, Hofer SM. Multivariate Longitudinal Modeling of Cognitive Aging: Associations Among Change and Variation in Processing Speed and Visuospatial Ability. GeroPsych: The Journal of Gerontopsychology and Geriatric Psychiatry 2012; 25(1), 15-24.

van den Hout A, Muniz G, Matthews F. A latent-class semi-parametric change point model for cognitive ability in older age. Proceedings of the International Workshop of Statistical Modelling, (2011).

Piccinin A, Muniz G, Matthews F, Johansson B. Terminal decline from within- and between-person perspectives, accounting for incident dementia. Journal of Gerontology B Pyschological Science and Social Science 2011; 66(4): 301-401.

Muniz G, van den Hout A, Stasinopoulos M, Rigby R. Modelling random effects using GAMLSS. G. Proceedings of the International Workshop of Statistical Modelling, 2010.