********Posted on behalf of Dr Ruth Peters, University of New South Wales, Australia*****
PhD Studentship - Frailty level and cognition over the adult life-course
Location: UNSW, Sydney, Australia
Funded by Scientia scholarship (highly competitive). Generous stipend. Fees covered (home and international students)
For further information please visit https://www.scientia.unsw.edu.au/scientia-phd-scholarships or contact Dr Ruth Peters directly (email: [log in to unmask]).
Applications from statisticians or epidemiologists with suitable interests/skills are welcome.
PROJECT DESCRIPTION
Over recent years it has become clear that dementia pathology accrues over the decades prior to diagnosis. Exciting recent developments highlight the potential role of frailty as a moderator in the development of dementia. However, the role of frailty over the life-course and prodromal phase of dementia is only just beginning to be explored. This project will use secondary data analysis of unique multinational longitudinal cohorts, imaging and medical-record data to explore, model and uncover the relationships between exposure to risk factors, frailty, quality of life, quality-adjusted-life-years (QALY) and cognition over the adult life-course and in various societal, socioeconomic and population groups.
IDEAL CANDIDATE
This project would suit someone with an interest in the use of secondary data analysis and statistical modelling. The project includes novel and traditional methods of analysis of long-term repeated measures data from varying assessment intervals drawn from differing population groups. It requires attention to detail, data management, sensitive data harmonisation, evidence synthesis and an ability to take a high-level overview of the evidence. There is scope to add in mixed methods and interviewing depending on the candidate. The ideal candidate will have an honours degree in psychology or equivalent discipline, a demonstrated interest in ageing, frailty and cognitive function and experience of basic statistical modelling. Additional experience of evidence synthesis, meta-analysis and data harmonisation, working with large data sets and missing data would be an advantage.
Supervisory team
Ruth Peters (UNSW Sydney, Australia); Science Psychology
Kaarin Anstey (UNSW Sydney, Australia); Science Psychology
Kenneth Rockwood (Dalhousie University, Halifax, Canada); Geriatric Medicine
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