Global Challenges Academy

Staff Profile

Dr Andrew Kingston




A Chartered Statistician with a PhD in statistical epidemiology, I use complex longitudinal data and advanced statistical techniques to understand how health outcomes unfold over time. My principal area of technical interest relates to statistical methods that are applicable to complex longitudinal data that have the capacity to identify temporal trends and how factors impact/shape those trends. My mathematical expertise centres on methodology used to analyse longitudinal continuous and categorical data and microsimulation.


  1. Understanding pathways to disability and dependency in older people;
  2. Understanding how disability is shaped by exposures to risk factors across the life-course and drivers of health inequality;
  3. Developing disability risk prediction methodology;
  4. Using microsimulation to project future prevalence and incidence of health outcomes;
  5. Methods of calculating healthy life expectancy;
  6. Causes of the male-female disability survival paradox.


To understand:

  1. Ways in which age-related functional decline can be compressed to the shortest possible window before death, leading to better quality of life for older people by compressing their period of dependency.
  2. The specific pathways through which biology, disease, lifestyle factors and sociodemographics interact across the life-course to shape health trajectories.