Lucy Leigh

Lucy Leigh - Statistician | HMRI
Research Program:

What are your research interests?

My research background is in allied health, public health, and statistics. I am interested in the ageing experience of older Australians, and investigating the factors which predict whether a person will age successfully or not. I am also interested in applying different statistical methods for the analysis of various research questions, for example from clinical trials and interventions, and prospective observational longitudinal research.

Why did you get into research?

I enjoy learning about and understanding various aspects of health. I have a background working as an allied health professional, which lead to my interest in contributing to the development of treatments and practices, and public health. Proper statistical design and analysis is essential in all areas of medical and health research, to ensure that treatments and health interventions are both efficacious and safe. I also really enjoy problem solving and the process of approaching an analysis question, determining how best it should be performed, interpreting the results, and the process of disseminating this information via publication in peer-reviewed journals and reports.

What would be the ultimate goal for your research?

My goal is to continue to develop the skills to be able to help researchers design and conduct meaningful research, which will eventually make a difference to people’s lives. 


Lucy has an undergradate degree in Medical Radiation Science (Radiation Therapy) from the University of Newcastle, and worked for a year as a Radiation Therapist at the Royal North Shore Hospital (Sydney), before completing her second undergraduate degree in Mathematics, at the University of Newcastle. Throughout the final year of her second undergraduate degree Lucy began working at the Research Centre for Generational Health and Ageing, at the University of Newcastle, and continued to work there for 7 years, primarily working with data from the Australian Longitudinal Study on Women’s Health (ALSWH).

In 2012 Lucy also commenced a PhD in Gender and Health through the University of Newcastle, researching ageing trajectories in women from the 1921-26 cohort of the ALSWH, and aims to submit her thesis by the end of 2016. In 2016 Lucy began working as a statistician at the Clinical Research Design and Statistical Support unit of the HMRI (CReDITSS). 

Specialised/Technical Skills 

  • Statistical software proficiency (R, MPLUS, SAS, Stata, SPSS)
  • Statistical analysis: longitudinal analysis, survival analysis, latent class analysis, three-step latent class regression, latent growth modelling, joint longitudinal analysis, mixture models, logistic, multinomial and ordinal regression, multi-group analysis, factor analysis, multi-state models, multiple imputation