Email Address: firstname.lastname@example.org
Other Research Theme Collaborations: ESH COLD
Person overviewA statistician by training, I began working at the MRC Biostatistics Unit in 1997 as a Research Associate and rose to become Programme Leader in 2008. I am currently a part time Programme Leader at the MRC Biostatistics Unit in Cambridge and part time Professor of Epidemiology at the University of Newcastle.I am particularly interested in using modern statistical methods to investigate ageing, healthy life expectancy and autism using population based epidemiological studies. I am the Principal Statistician on the Cognitive Function and Ageing Studies (www.cfas.ac.uk).
BSU Research overviewUnderstanding the changes associated with ageing is vital now that there is increased longevity within the population. Investigating these raises interesting statistical challenges in terms of population representation, pathological versus 'normal' ageing, missing data due to drop out and death, and measurement within the ageing community. We investigate these challenges using a combination of epidemiological investigations together with implementing and developing appropriate statistical methodology. We have provided appropriate methodology to understand the changes associated with cognition in older age. Ageing is essentially a longitudinal process that shows a lot of variability between individuals and our statistical models both investigate the longitudinal change and the reasons behind the individual variability. These models are then used for developing public health models and influencing policy. There is always complexity in measuring factors associated with ageing and the challenge moving forward is to combine existing epidemiological data with information from new technologies (such as brain imaging) to further develop models of change.Google scholar Profile
Selected PapersMuniz-Terrera G, Bakra E, Hardy R, Matthews FE, Lunn D, FALCON Collaboration Group. (2014)Modelling life course blood pressure trajectories using Bayesian adaptive splines
Stat Methods Med Res. pii: 0962280214532576. [Epub ahead of print]:
Jagger C, Matthews FE, Wohland P, Fourweather T, Stephan BCM, Robinson L, Arthur A, Brayne C, MRC CFAS Collaboration. (2015)A comparison of health expectancies from the Cognitive Function and Ageing Studies over two decades in England.
Lancet. [EPub 8 Dec 2015] pii: S0140-6736(15)00947-2. doi: 10.1016/S0140-6736(15)00947-2:
Norton S, Matthews FE, Barnes DE, Yaffe K, Brayne C (2014)Potential for primary prevention of Alzheimer's disease: an analysis of population-based data.
Lancet Neurol 13(8): 788-794
van den Hout A, Ogurtsova E, Gampe J, Matthews FE. (2014)Investigating healthy life expectancy using a multi-state model in the presence of missing data and misclassification.
Demographic Research 30(42): 1219-1244
Matthews FE, Arthur A, Barnes LE, Bond J, Jagger C, Robinson L, Brayne C. (2013)A two-decade comparison of prevalence of dementia in individuals aged 65 years and older from three geographical areas of England: results of the Cognitive Function and Ageing Study I and II.
The Lancet Volume 382, Issue 9902: Pages 1405–1412